Zipf1 Decay Model with All Treshold Test Data Result Obj Size Ignored

Result

Model Summaries

Model Better than base % of the times
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0
LR_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0
Offline Clock 1st iteration 0
Offline Clock 2nd iteration 100
Zipf Optimal Distribution 100

Promotion Reduced (%)

Model Max Min Avg Mdn
LR_7_decay_rtime[cache_size=0.01,treshold=0.3]67.8282 67.7813 67.7968 67.7885
LR_7_decay_rtime[cache_size=0.01,treshold=0.5]56.4884 56.4581 56.4771 56.4821
LR_7_decay_rtime[cache_size=0.01,treshold=0.6]48.3661 48.3242 48.3463 48.3529
LR_7_decay_rtime[cache_size=0.01,treshold=0.7]36.3781 36.3493 36.366 36.3718
LR_7_decay_rtime[cache_size=0.01,treshold=0.8]16.3437 16.3183 16.3308 16.3313
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.3]85.2614 85.2307 85.2454 85.2447
LR_7_decay_vtime[cache_size=0.01,treshold=0.5]63.6617 63.62 63.6488 63.656
LR_7_decay_vtime[cache_size=0.01,treshold=0.6]37.2107 37.1812 37.1935 37.195
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0123591 0.0110348 0.0114865 0.0111867
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.00053652 0.000335257 0.000427203 0.000430919
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.3]67.8117 67.764 67.7806 67.7732
LR_8_decay_rtime[cache_size=0.01,treshold=0.5]56.4736 56.4458 56.463 56.4691
LR_8_decay_rtime[cache_size=0.01,treshold=0.6]48.3509 48.3121 48.3326 48.339
LR_8_decay_rtime[cache_size=0.01,treshold=0.7]36.3647 36.3337 36.3519 36.3568
LR_8_decay_rtime[cache_size=0.01,treshold=0.8]16.4056 16.3827 16.3942 16.3936
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.3]86.0577 86.0382 86.0477 86.0474
LR_8_decay_vtime[cache_size=0.01,treshold=0.5]63.6526 63.6064 63.6383 63.6434
LR_8_decay_vtime[cache_size=0.01,treshold=0.6]36.6564 36.6169 36.6326 36.6337
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.3]67.8225 67.7773 67.7931 67.7856
LR_9_decay_rtime[cache_size=0.01,treshold=0.5]56.4888 56.4576 56.476 56.4804
LR_9_decay_rtime[cache_size=0.01,treshold=0.6]48.3555 48.3178 48.337 48.343
LR_9_decay_rtime[cache_size=0.01,treshold=0.7]36.3463 36.3114 36.3307 36.3352
LR_9_decay_rtime[cache_size=0.01,treshold=0.8]16.3956 16.3763 16.3862 16.3844
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.3]86.6303 86.6167 86.6239 86.6227
LR_9_decay_vtime[cache_size=0.01,treshold=0.5]64.5077 64.469 64.4944 64.4977
LR_9_decay_vtime[cache_size=0.01,treshold=0.6]35.5018 35.4628 35.4818 35.484
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1648 83.1519 83.1572 83.1548
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.9045 63.8833 63.8961 63.8992
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9958 42.9828 42.9889 42.9862
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.0626 21.0399 21.053 21.0563
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7381 88.7268 88.7324 88.7316
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9356 78.8953 78.9192 78.9232
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.7924 75.7577 75.78 75.7855
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9465 63.9038 63.9266 63.9337
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9288 53.8688 53.9037 53.9124
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7885 29.7363 29.7606 29.7615
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.629 83.5877 83.6089 83.6057
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9918 59.9463 59.9715 59.9793
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.7766 38.6998 38.7353 38.741
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.27606 1.24021 1.26179 1.26404
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 3.89545e-05 0 1.55786e-05 9.73649e-06
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7952 75.7602 75.7827 75.7877
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9446 63.9002 63.9235 63.9312
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.9202 53.8608 53.8949 53.9047
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.8001 29.7536 29.7749 29.7767
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8626 83.835 83.8475 83.8441
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1868 60.1425 60.1657 60.1682
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.6699 38.5923 38.629 38.6328
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.348555 0.302971 0.325305 0.322731
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.8057 75.7712 75.7945 75.8
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9373 63.8902 63.9144 63.9207
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8888 53.8284 53.8645 53.8731
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.795 29.7477 29.7683 29.7692
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.0011589 0.00074971 0.00100663 0.00109018
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9784 83.9536 83.9649 83.9617
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2505 60.2055 60.2296 60.2324
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5841 38.5032 38.5403 38.5437
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0323517 0.0284586 0.0300374 0.0296905
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.3511 78.3288 78.3419 78.341
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2431 62.1872 62.2175 62.2269
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6731 47.6203 47.6407 47.6343
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1949 23.1637 23.1836 23.1838
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1198 98.1126 98.1156 98.1159
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9061 95.8976 95.9029 95.9036
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2642 81.246 81.2538 81.2525
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.8995 66.8546 66.875 66.8721
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4722 56.4611 56.4676 56.4672
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00734788 0.00627782 0.00680156 0.00681926
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000399983 0.000219937 0.000315886 0.000319889
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5892 82.5715 82.5787 82.5759
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.8093 59.7863 59.7971 59.7959
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6949 39.6482 39.6709 39.6686
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.14884 4.11541 4.13316 4.13037
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3732 81.3563 81.3634 81.3625
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.9198 66.8755 66.8963 66.895
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.5253 56.5156 56.52 56.5185
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5519 82.5307 82.5397 82.5381
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.8017 59.7802 59.7899 59.7881
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7323 39.6844 39.7078 39.7041
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.31487 4.28765 4.30283 4.30227
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1785 81.1599 81.1692 81.1711
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.8726 66.8309 66.851 66.8496
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4336 56.4218 56.4292 56.4299
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0129086 0.0117876 0.0124336 0.0125295
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00326906 0.00245915 0.00298893 0.00311966
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000199992 8.99741e-05 0.000145953 0.000129955
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6194 82.6005 82.6088 82.6057
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.8153 59.7931 59.8038 59.803
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.6478 39.5967 39.622 39.6175
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.96527 3.93742 3.95124 3.95278
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7827 79.773 79.7775 79.7776
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5598 65.5148 65.5391 65.5437
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.044 53.0295 53.0372 53.0391
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.985 98.9794 98.9816 98.9811
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8342 97.8299 97.8322 97.8322
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6364 80.5942 80.6168 80.6126
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6696 59.6298 59.6494 59.6452
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2799 41.1786 41.2212 41.2187
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.14622 9.07493 9.09984 9.09161
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4395 80.4036 80.4236 80.4182
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.3149 59.2213 59.2666 59.2741
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.1381 41.0351 41.0759 41.0723
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.73816 9.67011 9.68884 9.68025
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6287 80.5871 80.6099 80.6074
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6621 59.6227 59.6426 59.6394
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.283 41.1815 41.2248 41.2225
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.16032 9.09081 9.11483 9.10767
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4316 80.3961 80.4157 80.4101
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2998 59.2023 59.2485 59.2557
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.1176 41.0138 41.0557 41.0527
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.71146 9.6443 9.66265 9.65421
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6459 80.6046 80.6267 80.6239
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.676 59.6376 59.6559 59.6513
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2734 41.1719 41.2153 41.2133
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.10534 9.03608 9.05942 9.05079
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4505 80.4124 80.4333 80.4278
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.3114 59.2161 59.2623 59.2698
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.1118 41.0056 41.0488 41.0456
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.65327 9.59034 9.60868 9.60011
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2779 86.2688 86.2733 86.2719
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4655 77.4274 77.4485 77.4519
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4765 56.4193 56.4422 56.4435
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6132 99.606 99.6094 99.6089
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0597 99.0545 99.0562 99.0554
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
Offline Clock 1st iteration 0 0 0 0
Offline Clock 2nd iteration 43.4673 41.4753 42.6567 43.0175
Zipf Optimal Distribution 17.0869 6.59027 12.1282 13.1121

Miss Ratio Reduced (%)

Model Max Min Avg Mdn
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] -4.58077 -4.59878 -4.58505 -4.58171
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] -3.0176 -3.03426 -3.02322 -3.02186
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] -2.08708 -2.09713 -2.09183 -2.0911
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] -1.00321 -1.01315 -1.00922 -1.011
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] -0.0120911 -0.020723 -0.0158914 -0.0153021
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] -8.4021 -8.41912 -8.40882 -8.40943
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] -5.59918 -5.61415 -5.60567 -5.60483
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] -2.8999 -2.91011 -2.90359 -2.90345
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] -0.00123396 -0.0017273 -0.00152992 -0.00148085
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0 -0.000246758 -4.93515e-05 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] -4.5783 -4.59631 -4.58258 -4.57924
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] -3.01562 -3.03228 -3.02129 -3.01974
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] -2.08535 -2.09515 -2.09025 -2.08986
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] -1.00173 -1.01167 -1.00769 -1.00952
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] -0.00863652 -0.0180093 -0.0130289 -0.012834
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] -8.52449 -8.54104 -8.53082 -8.52986
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] -5.59696 -5.61168 -5.60354 -5.60267
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] -2.84684 -2.85853 -2.85122 -2.8504
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] -4.58052 -4.59779 -4.58455 -4.58121
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] -3.01686 -3.03401 -3.02258 -3.02112
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] -2.08535 -2.0954 -2.0901 -2.08937
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] -0.998766 -1.0087 -1.00483 -1.00631
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] -0.000493515 -0.00962139 -0.00458954 -0.00444255
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] -8.61998 -8.6336 -8.62434 -8.62364
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] -5.69689 -5.71065 -5.70205 -5.70079
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] -2.74345 -2.75463 -2.74842 -2.74799
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.3] -7.43061 -7.44472 -7.43415 -7.43189
LR_decay_rtime[cache_size=0.01,treshold=0.5] -5.40769 -5.41917 -5.41131 -5.40919
LR_decay_rtime[cache_size=0.01,treshold=0.6] -3.92616 -3.93264 -3.92944 -3.92947
LR_decay_rtime[cache_size=0.01,treshold=0.7] -2.1115 -2.11627 -2.11374 -2.11292
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.3] -8.89485 -8.90928 -8.89904 -8.89709
LR_decay_vtime[cache_size=0.01,treshold=0.5] -7.4812 -7.49581 -7.48631 -7.48519
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] -8.5622 -8.57836 -8.56731 -8.56651
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] -5.76907 -5.79047 -5.77488 -5.77175
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] -3.89765 -3.91643 -3.90478 -3.90363
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] -1.48348 -1.49776 -1.48959 -1.48797
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] -12.6236 -12.6359 -12.6307 -12.6318
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] -7.69874 -7.71361 -7.70577 -7.70458
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] -4.39381 -4.41099 -4.40228 -4.40196
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] -0.115897 -0.122047 -0.118577 -0.118793
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] -8.56267 -8.5793 -8.56825 -8.56745
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] -5.7686 -5.79093 -5.77479 -5.77165
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] -3.89719 -3.91597 -3.90385 -3.9027
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] -1.48489 -1.4987 -1.49062 -1.4889
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] -12.684 -12.694 -12.6889 -12.6879
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] -7.73332 -7.74634 -7.73943 -7.73918
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] -4.37745 -4.39603 -4.38713 -4.38747
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] -0.0294416 -0.0327383 -0.0311406 -0.0308625
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] -8.56547 -8.58211 -8.57124 -8.57072
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] -5.7672 -5.78953 -5.77339 -5.76988
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] -3.89251 -3.91129 -3.89973 -3.89802
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] -1.48769 -1.50197 -1.49342 -1.49171
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] -12.7139 -12.723 -12.7181 -12.7174
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] -7.74314 -7.75757 -7.75056 -7.75181
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] -4.36483 -4.38434 -4.37488 -4.37484
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] -0.00280396 -0.00327383 -0.0029925 -0.00280568
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.3] -9.71045 -9.73169 -9.71782 -9.71514
LR_decay_rtime[cache_size=0.1,treshold=0.5] -6.84073 -6.85867 -6.84646 -6.84264
LR_decay_rtime[cache_size=0.1,treshold=0.6] -4.97236 -4.98943 -4.98057 -4.98172
LR_decay_rtime[cache_size=0.1,treshold=0.7] -2.5194 -2.52786 -2.52376 -2.52335
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.3] -16.8055 -16.8289 -16.814 -16.8116
LR_decay_vtime[cache_size=0.1,treshold=0.5] -16.0676 -16.0885 -16.0751 -16.0733
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] -12.5516 -12.561 -12.555 -12.5537
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] -9.46559 -9.4814 -9.47742 -9.48085
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] -7.39834 -7.41252 -7.40403 -7.40246
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] -0.000654515 -0.00130971 -0.00104729 -0.00130859
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] -14.5905 -14.6003 -14.597 -14.598
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] -8.80982 -8.81762 -8.81409 -8.81335
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] -5.09984 -5.11987 -5.11214 -5.11221
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] -0.433144 -0.438097 -0.435678 -0.436007
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] -12.5581 -12.5669 -12.5619 -12.5608
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] -9.46755 -9.48282 -9.47873 -9.48223
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] -7.40554 -7.41906 -7.41083 -7.41032
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] -14.5794 -14.5879 -14.5855 -14.5869
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] -8.80851 -8.81599 -8.81278 -8.81204
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] -5.10573 -5.1251 -5.11803 -5.1181
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] -0.452924 -0.456301 -0.454398 -0.454215
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] -12.5444 -12.5532 -12.5478 -12.5459
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] -9.46297 -9.47879 -9.47467 -9.47765
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] -7.39376 -7.40729 -7.39866 -7.3964
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] -0.00196289 -0.00196456 -0.00196369 -0.00196354
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0 -0.000654853 -0.000523631 -0.000654489
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] -14.6003 -14.6101 -14.6065 -14.6078
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] -8.81113 -8.8186 -8.81566 -8.81531
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] -5.09133 -5.11113 -5.10402 -5.10436
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] -0.412439 -0.416487 -0.414208 -0.414308
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.3] -12.64 -12.6507 -12.6458 -12.6465
LR_decay_rtime[cache_size=0.2,treshold=0.5] -9.36021 -9.3813 -9.37374 -9.37553
LR_decay_rtime[cache_size=0.2,treshold=0.6] -6.96432 -6.97283 -6.96822 -6.966
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.3] -20.7329 -20.747 -20.7376 -20.7363
LR_decay_vtime[cache_size=0.2,treshold=0.5] -20.1903 -20.2075 -20.1983 -20.197
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] -16.3829 -16.4379 -16.4154 -16.4254
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] -9.74211 -9.80403 -9.7766 -9.78019
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] -5.77502 -5.81742 -5.79959 -5.80283
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] -1.00687 -1.03073 -1.02295 -1.02382
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] -16.3261 -16.3777 -16.3581 -16.3686
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] -9.64996 -9.71384 -9.68346 -9.68488
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] -5.75028 -5.79121 -5.77332 -5.77653
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] -1.07807 -1.10914 -1.09927 -1.10456
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] -16.3796 -16.4357 -16.4132 -16.4232
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] -9.74055 -9.80214 -9.77468 -9.77829
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] -5.77569 -5.81787 -5.79999 -5.80294
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] -1.00798 -1.03218 -1.02445 -1.02628
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] -16.3228 -16.3755 -16.355 -16.3652
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] -9.6484 -9.71061 -9.67989 -9.68164
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] -5.74683 -5.78697 -5.7694 -5.77251
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] -1.07507 -1.1058 -1.09581 -1.10111
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] -16.3874 -16.4424 -16.4201 -16.4288
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] -9.74389 -9.80537 -9.77845 -9.78152
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] -5.77413 -5.8162 -5.79831 -5.8015
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] -1.00186 -1.02493 -1.0172 -1.01836
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] -16.3294 -16.3822 -16.3617 -16.3719
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] -9.64962 -9.7134 -9.6827 -9.68432
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] -5.74594 -5.78608 -5.76842 -5.7714
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] -1.06771 -1.09877 -1.08885 -1.09428
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.3] -18.2884 -18.3529 -18.3273 -18.3383
LR_decay_rtime[cache_size=0.4,treshold=0.5] -14.8664 -14.9185 -14.8992 -14.9085
LR_decay_rtime[cache_size=0.4,treshold=0.6] -8.84845 -8.89001 -8.87027 -8.87001
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.3] -26.3892 -26.4608 -26.4262 -26.4192
LR_decay_vtime[cache_size=0.4,treshold=0.5] -25.9725 -26.0439 -26.0089 -26.0035
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
Offline Clock 1st iteration 0 0 0 0
Offline Clock 2nd iteration 7.80369 0.100977 2.73498 1.84941
Zipf Optimal Distribution 3.35401 0.0684004 1.23463 0.902408

Model Summaries Plot

Miss Ratio Reduced (%)

Promotion Reduced (%)

Mean Promotion vs Miss Ratio

Cache Size All

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 42.6567 2.73498
Zipf Optimal Distribution 12.1282 1.23463
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000315886 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 1.55786e-05 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00100663 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000145953 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000427203 -4.93515e-05
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00298893 -0.000523631
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00680156 -0.00104729
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0114865 -0.00152992
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0124336 -0.00196369
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0300374 -0.0029925
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3862 -0.00458954
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3942 -0.0130289
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3308 -0.0158914
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.325305 -0.0311406
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26179 -0.118577
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95124 -0.414208
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13316 -0.435678
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30283 -0.454398
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3307 -1.00483
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3519 -1.00769
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.366 -1.00922
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05942 -1.0172
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09984 -1.02295
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.11483 -1.02445
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60868 -1.08885
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.66265 -1.09581
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68884 -1.09927
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7606 -1.48959
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7749 -1.49062
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7683 -1.49342
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.337 -2.0901
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.3326 -2.09025
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3463 -2.09183
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.053 -2.11374
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1836 -2.52376
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.4818 -2.74842
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6326 -2.85122
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.1935 -2.90359
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.463 -3.02129
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.476 -3.02258
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4771 -3.02322
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8645 -3.89973
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.8949 -3.90385
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9037 -3.90478
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9889 -3.92944
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5403 -4.37488
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.629 -4.38713
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.7353 -4.40228
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7806 -4.58258
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7931 -4.58455
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7968 -4.58505
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6407 -4.98057
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.622 -5.10402
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6709 -5.11214
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7078 -5.11803
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8961 -5.41131
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6383 -5.60354
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.6488 -5.60567
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4944 -5.70205
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0488 -5.76842
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0557 -5.7694
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0759 -5.77332
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9144 -5.77339
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9235 -5.77479
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9266 -5.77488
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2153 -5.79831
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2212 -5.79959
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2248 -5.79999
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2175 -6.84646
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0372 -6.96822
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4292 -7.39866
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4676 -7.40403
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.52 -7.41083
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1572 -7.43415
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9192 -7.48631
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9715 -7.70577
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1657 -7.73943
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2296 -7.75056
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2454 -8.40882
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0477 -8.53082
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.78 -8.56731
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7827 -8.56825
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.7945 -8.57124
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6239 -8.62434
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7899 -8.81278
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7971 -8.81409
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.8038 -8.81566
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4422 -8.87027
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7324 -8.89904
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5391 -9.37374
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.851 -9.47467
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.875 -9.47742
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.8963 -9.47873
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2485 -9.67989
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2623 -9.6827
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2666 -9.68346
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.3419 -9.71782
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6426 -9.77468
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6494 -9.7766
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6559 -9.77845
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1692 -12.5478
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2538 -12.555
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3634 -12.5619
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6089 -12.6307
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7775 -12.6458
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8475 -12.6889
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9649 -12.7181
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5397 -14.5855
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5787 -14.597
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6088 -14.6065
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4485 -14.8992
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9029 -16.0751
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4157 -16.355
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4236 -16.3581
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4333 -16.3617
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6099 -16.4132
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6168 -16.4154
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6267 -16.4201
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1156 -16.814
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2733 -18.3273
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.1983
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9816 -20.7376
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0562 -26.0089
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6094 -26.4262

Cache Size 0.01

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 42.0861 0.362449
Zipf Optimal Distribution 8.83002 0.192773
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000427203 -4.93515e-05
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0114865 -0.00152992
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3862 -0.00458954
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3942 -0.0130289
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3308 -0.0158914
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3307 -1.00483
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3519 -1.00769
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.366 -1.00922
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.337 -2.0901
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.3326 -2.09025
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3463 -2.09183
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.053 -2.11374
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.4818 -2.74842
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6326 -2.85122
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.1935 -2.90359
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.463 -3.02129
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.476 -3.02258
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4771 -3.02322
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9889 -3.92944
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7806 -4.58258
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7931 -4.58455
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7968 -4.58505
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8961 -5.41131
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6383 -5.60354
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.6488 -5.60567
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4944 -5.70205
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1572 -7.43415
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9192 -7.48631
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2454 -8.40882
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0477 -8.53082
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6239 -8.62434
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7324 -8.89904

Cache Size 0.1

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.0216 1.84971
Zipf Optimal Distribution 13.1079 0.901478
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 1.55786e-05 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00100663 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0300374 -0.0029925
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.325305 -0.0311406
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26179 -0.118577
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7606 -1.48959
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7749 -1.49062
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7683 -1.49342
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1836 -2.52376
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8645 -3.89973
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.8949 -3.90385
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9037 -3.90478
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5403 -4.37488
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.629 -4.38713
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.7353 -4.40228
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6407 -4.98057
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9144 -5.77339
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9235 -5.77479
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9266 -5.77488
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2175 -6.84646
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9715 -7.70577
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1657 -7.73943
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2296 -7.75056
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.78 -8.56731
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7827 -8.56825
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.7945 -8.57124
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.3419 -9.71782
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6089 -12.6307
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8475 -12.6889
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9649 -12.7181
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9029 -16.0751
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1156 -16.814

Cache Size 0.2

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.2203 3.56227
Zipf Optimal Distribution 15.0252 1.67385
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000145953 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000315886 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00298893 -0.000523631
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00680156 -0.00104729
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0124336 -0.00196369
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95124 -0.414208
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13316 -0.435678
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30283 -0.454398
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.622 -5.10402
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6709 -5.11214
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7078 -5.11803
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0372 -6.96822
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4292 -7.39866
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4676 -7.40403
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.52 -7.41083
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7899 -8.81278
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7971 -8.81409
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.8038 -8.81566
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5391 -9.37374
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.851 -9.47467
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.875 -9.47742
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.8963 -9.47873
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1692 -12.5478
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2538 -12.555
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3634 -12.5619
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7775 -12.6458
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5397 -14.5855
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5787 -14.597
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6088 -14.6065
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.1983
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9816 -20.7376

Cache Size 0.4

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.458 7.79849
Zipf Optimal Distribution 17.0787 3.33504
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05942 -1.0172
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09984 -1.02295
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.11483 -1.02445
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60868 -1.08885
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.66265 -1.09581
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68884 -1.09927
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0488 -5.76842
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0557 -5.7694
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0759 -5.77332
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2153 -5.79831
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2212 -5.79959
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2248 -5.79999
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4422 -8.87027
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2485 -9.67989
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2623 -9.6827
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2666 -9.68346
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6426 -9.77468
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6494 -9.7766
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6559 -9.77845
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4485 -14.8992
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4157 -16.355
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4236 -16.3581
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4333 -16.3617
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6099 -16.4132
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6168 -16.4154
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6267 -16.4201
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2733 -18.3273
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0562 -26.0089
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6094 -26.4262

Median Promotion vs Miss Ratio

Cache Size All

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.0175 1.84941
Zipf Optimal Distribution 13.1121 0.902408
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000319889 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000430919 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 9.73649e-06 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00109018 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000129955 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00311966 -0.000654489
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00681926 -0.00130859
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0111867 -0.00148085
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0125295 -0.00196354
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0296905 -0.00280568
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3844 -0.00444255
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3936 -0.012834
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3313 -0.0153021
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.322731 -0.0308625
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26404 -0.118793
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95278 -0.414308
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13037 -0.436007
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30227 -0.454215
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3352 -1.00631
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3568 -1.00952
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.3718 -1.011
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05079 -1.01836
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09161 -1.02382
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.10767 -1.02628
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60011 -1.09428
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.65421 -1.10111
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68025 -1.10456
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7615 -1.48797
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7767 -1.4889
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7692 -1.49171
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.343 -2.08937
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.339 -2.08986
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3529 -2.0911
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.0563 -2.11292
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1838 -2.52335
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.484 -2.74799
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6337 -2.8504
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.195 -2.90345
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.4691 -3.01974
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.4804 -3.02112
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4821 -3.02186
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8731 -3.89802
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.9047 -3.9027
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9124 -3.90363
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9862 -3.92947
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5437 -4.37484
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.6328 -4.38747
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.741 -4.40196
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7732 -4.57924
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7856 -4.58121
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7885 -4.58171
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6343 -4.98172
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.6175 -5.10436
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6686 -5.11221
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7041 -5.1181
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8992 -5.40919
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6434 -5.60267
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.656 -5.60483
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4977 -5.70079
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9207 -5.76988
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0456 -5.7714
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9312 -5.77165
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9337 -5.77175
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0527 -5.77251
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0723 -5.77653
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2133 -5.8015
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2187 -5.80283
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2225 -5.80294
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2269 -6.84264
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0391 -6.966
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4299 -7.3964
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4672 -7.40246
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.5185 -7.41032
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1548 -7.43189
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9232 -7.48519
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9793 -7.70458
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1682 -7.73918
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2324 -7.75181
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2447 -8.40943
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0474 -8.52986
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.7855 -8.56651
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7877 -8.56745
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.8 -8.57072
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6227 -8.62364
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7881 -8.81204
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7959 -8.81335
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.803 -8.81531
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4435 -8.87001
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7316 -8.89709
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5437 -9.37553
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.8496 -9.47765
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.8721 -9.48085
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.895 -9.48223
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2557 -9.68164
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2698 -9.68432
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2741 -9.68488
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.341 -9.71514
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6394 -9.77829
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6452 -9.78019
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6513 -9.78152
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1711 -12.5459
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2525 -12.5537
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3625 -12.5608
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6057 -12.6318
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7776 -12.6465
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8441 -12.6879
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9617 -12.7174
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5381 -14.5869
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5759 -14.598
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6057 -14.6078
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4519 -14.9085
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9036 -16.0733
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4101 -16.3652
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4182 -16.3686
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4278 -16.3719
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6074 -16.4232
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6126 -16.4254
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6239 -16.4288
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1159 -16.8116
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2719 -18.3383
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.197
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9811 -20.7363
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0554 -26.0035
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6089 -26.4192

Cache Size 0.01

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 42.0861 0.361512
Zipf Optimal Distribution 8.82408 0.192718
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000430919 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0111867 -0.00148085
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3844 -0.00444255
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3936 -0.012834
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3313 -0.0153021
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3352 -1.00631
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3568 -1.00952
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.3718 -1.011
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.343 -2.08937
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.339 -2.08986
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3529 -2.0911
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.0563 -2.11292
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.484 -2.74799
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6337 -2.8504
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.195 -2.90345
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.4691 -3.01974
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.4804 -3.02112
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4821 -3.02186
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9862 -3.92947
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7732 -4.57924
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7856 -4.58121
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7885 -4.58171
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8992 -5.40919
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6434 -5.60267
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.656 -5.60483
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4977 -5.70079
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1548 -7.43189
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9232 -7.48519
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2447 -8.40943
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0474 -8.52986
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6227 -8.62364
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7316 -8.89709

Cache Size 0.1

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.0175 1.84941
Zipf Optimal Distribution 13.1121 0.902408
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 9.73649e-06 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00109018 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0296905 -0.00280568
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.322731 -0.0308625
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26404 -0.118793
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7615 -1.48797
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7767 -1.4889
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7692 -1.49171
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1838 -2.52335
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8731 -3.89802
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.9047 -3.9027
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9124 -3.90363
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5437 -4.37484
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.6328 -4.38747
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.741 -4.40196
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6343 -4.98172
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9207 -5.76988
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9312 -5.77165
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9337 -5.77175
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2269 -6.84264
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9793 -7.70458
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1682 -7.73918
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2324 -7.75181
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.7855 -8.56651
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7877 -8.56745
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.8 -8.57072
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.341 -9.71514
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6057 -12.6318
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8441 -12.6879
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9617 -12.7174
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9036 -16.0733
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1159 -16.8116

Cache Size 0.2

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.2233 3.56334
Zipf Optimal Distribution 15.0351 1.67163
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000129955 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000319889 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00311966 -0.000654489
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00681926 -0.00130859
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0125295 -0.00196354
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95278 -0.414308
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13037 -0.436007
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30227 -0.454215
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.6175 -5.10436
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6686 -5.11221
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7041 -5.1181
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0391 -6.966
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4299 -7.3964
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4672 -7.40246
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.5185 -7.41032
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7881 -8.81204
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7959 -8.81335
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.803 -8.81531
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5437 -9.37553
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.8496 -9.47765
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.8721 -9.48085
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.895 -9.48223
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1711 -12.5459
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2525 -12.5537
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3625 -12.5608
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7776 -12.6465
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5381 -14.5869
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5759 -14.598
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6057 -14.6078
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.197
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9811 -20.7363

Cache Size 0.4

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.46 7.8007
Zipf Optimal Distribution 17.0793 3.33616
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05079 -1.01836
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09161 -1.02382
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.10767 -1.02628
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60011 -1.09428
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.65421 -1.10111
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68025 -1.10456
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0456 -5.7714
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0527 -5.77251
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0723 -5.77653
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2133 -5.8015
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2187 -5.80283
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2225 -5.80294
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4435 -8.87001
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2557 -9.68164
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2698 -9.68432
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2741 -9.68488
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6394 -9.77829
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6452 -9.78019
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6513 -9.78152
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4519 -14.9085
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4101 -16.3652
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4182 -16.3686
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4278 -16.3719
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6074 -16.4232
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6126 -16.4254
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6239 -16.4288
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2719 -18.3383
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0554 -26.0035
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6089 -26.4192

Model Classification Report

LR_7_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  28055468
           1       0.62      0.95      0.75  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.75      0.72  49785283
weighted avg       0.80      0.73      0.72  49785283

Accuracy: 0.7257623703776074
0-1%
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  27764588
           1       0.57      0.93      0.70  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.75      0.70  44863141
weighted avg       0.79      0.70      0.70  44863141

Accuracy: 0.7021582149141096
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7663399844488179
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7663399643625607
0-1%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471877860714211
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471877637814079
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7641813246028246
10-20%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.765368897575606
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7659750710114251
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055435
           1       0.68      0.87      0.76  21716758

    accuracy                           0.77  49772193
   macro avg       0.78      0.78      0.77  49772193
weighted avg       0.79      0.77      0.77  49772193

Accuracy: 0.7662791952928415
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.83      0.76      0.79  28055468
           1       0.72      0.80      0.76  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.78  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7768952523580112
0-1%
              precision    recall  f1-score   support

           0       0.83      0.77      0.80  27764588
           1       0.66      0.74      0.70  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.77      0.76      0.76  44863141

Accuracy: 0.7589012993985419
1-10%
              precision    recall  f1-score   support

           0       0.17      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.55      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9354112018571761
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.81  28055468
           1       0.78      0.66      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.76      0.76  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7690147307187146
0-1%
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  27764588
           1       0.72      0.57      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.72      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7502416070243499
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9345509821665003
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905487347685824
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.35      0.50  21729815

    accuracy                           0.69  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.69      0.66  49785283

Accuracy: 0.6938841544799494
0-1%
              precision    recall  f1-score   support

           0       0.67      0.97      0.79  27764588
           1       0.79      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6780533266718887
1-10%
              precision    recall  f1-score   support

           0       0.08      0.16      0.11    287564
           1       0.94      0.87      0.90   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.83      0.85   4452351

Accuracy: 0.8276360062358067
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.93      0.96    260071

Accuracy: 0.9337411706803143
20-40%
              precision    recall  f1-score   support

           0       0.01      0.06      0.01       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.51      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9424661083466055
40-80%
              precision    recall  f1-score   support

           0       0.00      0.09      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.94     65403
   macro avg       0.50      0.52      0.49     65403
weighted avg       0.99      0.94      0.97     65403

Accuracy: 0.9445744079017782
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.95      7386
   macro avg       0.50      0.51      0.49      7386
weighted avg       1.00      0.95      0.97      7386

Accuracy: 0.9471974004874086
90-100%
              precision    recall  f1-score   support

           0       0.00      0.06      0.01        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.50      0.50      0.49      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9468793828892006

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.49      0.64  26119367
           1       0.61      0.95      0.74  21615229

    accuracy                           0.70  47734596
   macro avg       0.77      0.72      0.69  47734596
weighted avg       0.78      0.70      0.69  47734596

Accuracy: 0.7020437336476043
0-1%
              precision    recall  f1-score   support

           0       0.98      0.88      0.92  12053010
           1       0.15      0.51      0.23    508421

    accuracy                           0.86  12561431
   macro avg       0.56      0.69      0.58  12561431
weighted avg       0.94      0.86      0.90  12561431

Accuracy: 0.8613169948551244
1-10%
              precision    recall  f1-score   support

           0       0.76      0.17      0.28  13368467
           1       0.55      0.95      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.56      0.49  27835287
weighted avg       0.65      0.58      0.50  27835287

Accuracy: 0.5768599404058596
10-20%
              precision    recall  f1-score   support

           0       0.19      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.53      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8696427502011881
20-40%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.51      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9300230934887316
40-80%
              precision    recall  f1-score   support

           0       0.04      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.50      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.96225952735115
80-90%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.61      0.50      0.49    124036
weighted avg       0.96      0.98      0.96    124036

Accuracy: 0.9750475668354349
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9765581769706726

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410423668401844
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410423668401844
0-1%
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262818065871635
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262818065871635
1-10%
              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.76      0.71      0.72  40396718

Accuracy: 0.7132848019980237
              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6171641054033321
10-20%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  25924842
           1       0.63      0.85      0.72  18362515

    accuracy                           0.73  44287357
   macro avg       0.74      0.74      0.73  44287357
weighted avg       0.76      0.73      0.73  44287357

Accuracy: 0.7257807007991016
              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.855526303005753
20-40%

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9222607349782546
40-80%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399509146955248
              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9582763282228421
80-90%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721774323583475
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.974324664218522

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.80      0.72      0.76  26119367
           1       0.70      0.78      0.74  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7475041791492275
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.15      0.18    508421

    accuracy                           0.94  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.94      0.94  12561431

Accuracy: 0.9442320703747845
1-10%
              precision    recall  f1-score   support

           0       0.63      0.52      0.57  13368467
           1       0.62      0.72      0.67  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.62      0.62  27835287
weighted avg       0.63      0.63      0.62  27835287

Accuracy: 0.6252407959723929
10-20%
              precision    recall  f1-score   support

           0       0.16      0.07      0.10    503365
           1       0.87      0.94      0.91   3387274

    accuracy                           0.83   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.83      0.80   3890639

Accuracy: 0.8300199530205706
20-40%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.91      0.89   2117913

Accuracy: 0.9069602953473538
40-80%
              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.99      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9500739220269555
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9668967074075269
90-100%
              precision    recall  f1-score   support

           0       0.03      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9695055083253685

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.84      0.76  26119367
           1       0.74      0.54      0.62  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.70  47734596

Accuracy: 0.7039990869515267
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.06      0.09    508421

    accuracy                           0.95  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9548778319922309
1-10%
              precision    recall  f1-score   support

           0       0.56      0.73      0.63  13368467
           1       0.65      0.48      0.55  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.60      0.59  27835287

Accuracy: 0.5969808394646694
10-20%
              precision    recall  f1-score   support

           0       0.15      0.37      0.21    503365
           1       0.88      0.69      0.78   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.50   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6523319177132599
20-40%
              precision    recall  f1-score   support

           0       0.08      0.33      0.13    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.7008588171468799
40-80%
              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7286134759629078
80-90%
              precision    recall  f1-score   support

           0       0.03      0.31      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7386000838466251
90-100%
              precision    recall  f1-score   support

           0       0.03      0.29      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7406609990442176

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.82      0.01      0.03  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.37  47734596
weighted avg       0.67      0.55      0.40  47734596

Accuracy: 0.552428033537772
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.50      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.73      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595251528269351
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.72      0.01      0.02  14466820

    accuracy                           0.48  27835287
   macro avg       0.60      0.50      0.33  27835287
weighted avg       0.60      0.48      0.32  27835287

Accuracy: 0.4832352905145185
10-20%
              precision    recall  f1-score   support

           0       0.13      0.98      0.23    503365
           1       0.88      0.02      0.05   3387274

    accuracy                           0.15   3890639
   macro avg       0.51      0.50      0.14   3890639
weighted avg       0.79      0.15      0.07   3890639

Accuracy: 0.14792557212324248
20-40%
              precision    recall  f1-score   support

           0       0.07      0.97      0.13    147488
           1       0.94      0.03      0.06   1970425

    accuracy                           0.10   2117913
   macro avg       0.50      0.50      0.09   2117913
weighted avg       0.88      0.10      0.06   2117913

Accuracy: 0.09554736195490561
40-80%
              precision    recall  f1-score   support

           0       0.04      0.97      0.07     41616
           1       0.97      0.03      0.06   1064279

    accuracy                           0.07   1105895
   macro avg       0.50      0.50      0.07   1105895
weighted avg       0.93      0.07      0.06   1105895

Accuracy: 0.06813757183096045
80-90%
              precision    recall  f1-score   support

           0       0.03      0.97      0.05      3093
           1       0.98      0.03      0.07    120943

    accuracy                           0.06    124036
   macro avg       0.50      0.50      0.06    124036
weighted avg       0.96      0.06      0.07    124036

Accuracy: 0.05759618175368442
90-100%
              precision    recall  f1-score   support

           0       0.02      0.97      0.05      2328
           1       0.98      0.03      0.07     97067

    accuracy                           0.06     99395
   macro avg       0.50      0.50      0.06     99395
weighted avg       0.96      0.06      0.06     99395

Accuracy: 0.055777453594245185

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.91      0.37      0.53  24893266
           1       0.56      0.96      0.70  20563095

    accuracy                           0.64  45456361
   macro avg       0.74      0.67      0.62  45456361
weighted avg       0.75      0.64      0.61  45456361

Accuracy: 0.6376305397609808
0-1%
              precision    recall  f1-score   support

           0       1.00      0.92      0.96   4873589
           1       0.01      0.77      0.02      3872

    accuracy                           0.92   4877461
   macro avg       0.50      0.84      0.49   4877461
weighted avg       1.00      0.92      0.96   4877461

Accuracy: 0.9202958260455594
1-10%
              precision    recall  f1-score   support

           0       0.89      0.28      0.42  16949103
           1       0.38      0.93      0.54   8016772

    accuracy                           0.49  24965875
   macro avg       0.64      0.60      0.48  24965875
weighted avg       0.73      0.49      0.46  24965875

Accuracy: 0.4858217867388986
10-20%
              precision    recall  f1-score   support

           0       0.41      0.06      0.11   2057494
           1       0.73      0.97      0.83   5461156

    accuracy                           0.72   7518650
   macro avg       0.57      0.51      0.47   7518650
weighted avg       0.64      0.72      0.63   7518650

Accuracy: 0.7185424245043991
20-40%
              precision    recall  f1-score   support

           0       0.24      0.04      0.07    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.54      0.51      0.49   4805513
weighted avg       0.75      0.83      0.78   4805513

Accuracy: 0.8308603056531113
40-80%
              precision    recall  f1-score   support

           0       0.13      0.03      0.05    235909
           1       0.91      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.52      0.51      0.50   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8982889188596911
80-90%
              precision    recall  f1-score   support

           0       0.09      0.03      0.04     18577
           1       0.94      0.98      0.96    296772

    accuracy                           0.93    315349
   macro avg       0.52      0.51      0.50    315349
weighted avg       0.89      0.93      0.91    315349

Accuracy: 0.9262023979781131
90-100%
              precision    recall  f1-score   support

           0       0.07      0.02      0.04     13620
           1       0.95      0.98      0.96    240209

    accuracy                           0.93    253829
   macro avg       0.51      0.50      0.50    253829
weighted avg       0.90      0.93      0.91    253829

Accuracy: 0.9312292921612582

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798656188074536
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798656188074536
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682488491450777
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682488491450777
1-10%
              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5884618504258312
              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6505325342984444
10-20%
              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582472891028865
              precision    recall  f1-score   support

           0       0.39      0.25      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.688868879386592
20-40%
              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699577558536256
              precision    recall  f1-score   support

           0       0.23      0.22      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7610044962941521
40-80%
              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8037933818781888
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24861069
           1       0.60      0.84      0.70  20026114

    accuracy                           0.68  44887183
   macro avg       0.71      0.69      0.68  44887183
weighted avg       0.72      0.68      0.67  44887183

Accuracy: 0.6780667657402337
80-90%
              precision    recall  f1-score   support

           0       0.09      0.22      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8199169808688151
90-100%
              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8239838631519645

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.65      0.70  24893266
           1       0.64      0.76      0.70  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.6992088522000254
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.54      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.985867237072731
1-10%
              precision    recall  f1-score   support

           0       0.83      0.60      0.70  16949103
           1       0.47      0.73      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.63  24965875
weighted avg       0.71      0.65      0.66  24965875

Accuracy: 0.6460417269572967
10-20%
              precision    recall  f1-score   support

           0       0.38      0.37      0.38   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6638534843356187
20-40%
              precision    recall  f1-score   support

           0       0.22      0.35      0.27    744974
           1       0.87      0.78      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.55      0.56      0.55   4805513
weighted avg       0.77      0.71      0.74   4805513

Accuracy: 0.7115223702443423
40-80%
              precision    recall  f1-score   support

           0       0.13      0.34      0.19    235909
           1       0.93      0.78      0.84   2483775

    accuracy                           0.74   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.74      0.79   2719684

Accuracy: 0.738614486094708
80-90%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14     18577
           1       0.95      0.77      0.85    296772

    accuracy                           0.75    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.75      0.81    315349

Accuracy: 0.7480061772829468
90-100%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13     13620
           1       0.95      0.77      0.86    240209

    accuracy                           0.75    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.75      0.82    253829

Accuracy: 0.751572909320842

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.547599773769836
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992042991220227
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.11      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.50      0.68      0.55  24965875

Accuracy: 0.6788619265297131
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.17      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.22      0.50      0.21   7518650
weighted avg       0.20      0.27      0.12   7518650

Accuracy: 0.2736177372267628
20-40%
              precision    recall  f1-score   support

           0       0.15      1.00      0.27    744974
           1       0.12      0.00      0.00   4060539

    accuracy                           0.15   4805513
   macro avg       0.14      0.50      0.13   4805513
weighted avg       0.13      0.15      0.04   4805513

Accuracy: 0.15498303719082646
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.05      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.07      0.50      0.08   2719684
weighted avg       0.06      0.09      0.01   2719684

Accuracy: 0.08668433538602278
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058861769024160536
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.11      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.08      0.50      0.05    253829
weighted avg       0.11      0.05      0.01    253829

Accuracy: 0.05360301620382226

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.03      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.29      0.50      0.35  45456361
weighted avg       0.31      0.55      0.39  45456361

Accuracy: 0.5476286366169962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.03      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.35      0.50      0.40  24965875
weighted avg       0.47      0.68      0.55  24965875

Accuracy: 0.6788895642552084
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.07      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.17      0.50      0.21   7518650
weighted avg       0.13      0.27      0.12   7518650

Accuracy: 0.2736504558664122
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502299130186517
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08673875347282993
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058906164281478615
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365423178596614

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.36      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6008507142455759
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9673580434568022
1-10%
              precision    recall  f1-score   support

           0       0.97      0.42      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.47111714919217546
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.45   8856813

Accuracy: 0.5128106464481073
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6608438719902159
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.54   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7649380422051496
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.20    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8088135166738207
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8173233899525839

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950248891592674
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950249144945815
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.758223778896199
              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7288291028304541
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7012975350623073
              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096352039949359
20-40%
              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6908919294410815
              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628511426930509
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.79      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6937290414399586
              precision    recall  f1-score   support

           0       0.33      0.41      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7080108788438251
80-90%
              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.726632228652625
90-100%
              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7304513534601764

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7205015996970707
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.74      0.66  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8353681044145719
10-20%
              precision    recall  f1-score   support

           0       0.71      0.66      0.69   5044441
           1       0.59      0.65      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6560412870859981
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6403670297977121
40-80%
              precision    recall  f1-score   support

           0       0.30      0.58      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.639187977686459
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6372574414233063
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.76    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6373476982173939

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.40      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6930104023252954
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9030441400543899
10-20%
              precision    recall  f1-score   support

           0       0.65      0.87      0.75   5044441
           1       0.69      0.39      0.50   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.62   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6643612098392503
20-40%
              precision    recall  f1-score   support

           0       0.42      0.81      0.56   2995598
           1       0.80      0.41      0.54   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.55040703183529
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.48   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.48      0.52   6296625

Accuracy: 0.48414015444781927
80-90%
              precision    recall  f1-score   support

           0       0.18      0.77      0.29    117971
           1       0.91      0.40      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.58      0.42    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4561112673485196
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.40      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4510353520196867

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.25      0.38  28055468
           1       0.49      0.94      0.64  21729815

    accuracy                           0.55  49785283
   macro avg       0.66      0.59      0.51  49785283
weighted avg       0.68      0.55      0.50  49785283

Accuracy: 0.5474596579073377
0-1%
              precision    recall  f1-score   support

           0       0.86      0.25      0.39  27764588
           1       0.43      0.94      0.59  17098553

    accuracy                           0.51  44863141
   macro avg       0.65      0.59      0.49  44863141
weighted avg       0.70      0.51      0.46  44863141

Accuracy: 0.5101256730998839
1-10%
              precision    recall  f1-score   support

           0       0.08      0.07      0.08    287564
           1       0.94      0.94      0.94   4164787

    accuracy                           0.88   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.88      0.88   4452351

Accuracy: 0.8830903044256844
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.94      0.96    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.50      0.49    260071
weighted avg       0.98      0.93      0.95    260071

Accuracy: 0.9295000211480711
20-40%
              precision    recall  f1-score   support

           0       0.01      0.07      0.01       659
           1       1.00      0.94      0.97    130568

    accuracy                           0.93    131227
   macro avg       0.50      0.51      0.49    131227
weighted avg       0.99      0.93      0.96    131227

Accuracy: 0.9348457253461558
40-80%
              precision    recall  f1-score   support

           0       0.00      0.08      0.01       169
           1       1.00      0.94      0.97     65234

    accuracy                           0.93     65403
   macro avg       0.50      0.51      0.49     65403
weighted avg       0.99      0.93      0.96     65403

Accuracy: 0.9344066785927251
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.00        15
           1       1.00      0.94      0.97      7371

    accuracy                           0.93      7386
   macro avg       0.50      0.50      0.49      7386
weighted avg       1.00      0.93      0.96      7386

Accuracy: 0.934470620092066
90-100%
              precision    recall  f1-score   support

           0       0.00      0.06      0.01        18
           1       1.00      0.94      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.50      0.50      0.49      5704
weighted avg       0.99      0.94      0.96      5704

Accuracy: 0.9358345021037868

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6284319203327617
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6284318801602473
0-1%
              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.6153508288686251
              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615350784288599
1-10%
              precision    recall  f1-score   support

           0       0.07      0.24      0.11    287564
           1       0.94      0.78      0.85   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.80   4452351

Accuracy: 0.7450122418470602
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28052152
           1       0.55      0.77      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.63  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6270570513622779
10-20%

              precision    recall  f1-score   support

           0       0.01      0.23      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.77    260071
   macro avg       0.50      0.50      0.44    260071
weighted avg       0.98      0.77      0.86    260071

Accuracy: 0.7707356837171387
20-40%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055266
           1       0.55      0.77      0.64  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.63  49706790

Accuracy: 0.6282000708555109
              precision    recall  f1-score   support

           0       0.01      0.25      0.01       659
           1       1.00      0.78      0.87    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.51      0.44    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7752672849337408
40-80%
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055435
           1       0.55      0.77      0.64  21716758

    accuracy                           0.63  49772193
   macro avg       0.65      0.64      0.63  49772193
weighted avg       0.66      0.63      0.63  49772193

Accuracy: 0.6283927855057542
              precision    recall  f1-score   support

           0       0.00      0.23      0.01       169
           1       1.00      0.78      0.87     65234

    accuracy                           0.77     65403
   macro avg       0.50      0.50      0.44     65403
weighted avg       0.99      0.77      0.87     65403

Accuracy: 0.7748574224423956
80-90%
              precision    recall  f1-score   support

           0       0.00      0.27      0.00        15
           1       1.00      0.77      0.87      7371

    accuracy                           0.77      7386
   macro avg       0.50      0.52      0.44      7386
weighted avg       1.00      0.77      0.87      7386

Accuracy: 0.7695640400758191
90-100%
              precision    recall  f1-score   support

           0       0.00      0.22      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.51      0.44      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7871669004207573

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.66      0.76      0.71  28055468
           1       0.61      0.49      0.55  21729815

    accuracy                           0.64  49785283
   macro avg       0.64      0.63      0.63  49785283
weighted avg       0.64      0.64      0.64  49785283

Accuracy: 0.6430582306823485
0-1%
              precision    recall  f1-score   support

           0       0.71      0.76      0.73  27764588
           1       0.56      0.49      0.52  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.62      0.63  44863141
weighted avg       0.65      0.66      0.65  44863141

Accuracy: 0.6566422756712464
1-10%
              precision    recall  f1-score   support

           0       0.07      0.49      0.12    287564
           1       0.94      0.52      0.67   4164787

    accuracy                           0.52   4452351
   macro avg       0.50      0.51      0.39   4452351
weighted avg       0.88      0.52      0.63   4452351

Accuracy: 0.5189997374420839
10-20%
              precision    recall  f1-score   support

           0       0.01      0.48      0.02      2455
           1       0.99      0.52      0.68    257616

    accuracy                           0.52    260071
   macro avg       0.50      0.50      0.35    260071
weighted avg       0.98      0.52      0.68    260071

Accuracy: 0.5207539479603647
20-40%
              precision    recall  f1-score   support

           0       0.01      0.51      0.01       659
           1       1.00      0.52      0.68    130568

    accuracy                           0.52    131227
   macro avg       0.50      0.52      0.35    131227
weighted avg       0.99      0.52      0.68    131227

Accuracy: 0.5218819297857911
40-80%
              precision    recall  f1-score   support

           0       0.00      0.46      0.00       169
           1       1.00      0.52      0.69     65234

    accuracy                           0.52     65403
   macro avg       0.50      0.49      0.35     65403
weighted avg       0.99      0.52      0.69     65403

Accuracy: 0.5238750516031375
80-90%
              precision    recall  f1-score   support

           0       0.00      0.27      0.00        15
           1       1.00      0.52      0.68      7371

    accuracy                           0.52      7386
   macro avg       0.50      0.39      0.34      7386
weighted avg       1.00      0.52      0.68      7386

Accuracy: 0.5199025182778229
90-100%
              precision    recall  f1-score   support

           0       0.00      0.44      0.01        18
           1       1.00      0.53      0.69      5686

    accuracy                           0.53      5704
   macro avg       0.50      0.49      0.35      5704
weighted avg       0.99      0.53      0.69      5704

Accuracy: 0.527875175315568

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.16      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.36      0.50      0.36  49785283
weighted avg       0.39      0.56      0.41  49785283

Accuracy: 0.5634782270897205
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.6188176837640503
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.38      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.22      0.50      0.06   4452351
weighted avg       0.36      0.06      0.01   4452351

Accuracy: 0.06457532211633808
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.44      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.22      0.50      0.01    260071
weighted avg       0.43      0.01      0.00    260071

Accuracy: 0.009432039712232429
20-40%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       659
           1       0.22      0.00      0.00    130568

    accuracy                           0.00    131227
   macro avg       0.11      0.49      0.00    131227
weighted avg       0.22      0.00      0.00    131227

Accuracy: 0.00498373048229404
40-80%
              precision    recall  f1-score   support

           0       0.00      0.98      0.01       169
           1       0.20      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.10      0.49      0.00     65403
weighted avg       0.20      0.00      0.00     65403

Accuracy: 0.002538109872635812
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.18      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635278200587913
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.43      0.62      0.47  44863141

Accuracy: 0.6188712243754846
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.80      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.43      0.50      0.06   4452351
weighted avg       0.75      0.06      0.01   4452351

Accuracy: 0.06458767514061672
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       1.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.99      0.01      0.00    260071

Accuracy: 0.009447420127580545
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       1.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       1.00      0.01      0.00    131227

Accuracy: 0.005029452780296738
40-80%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.0025686895096555203
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.28      0.42  26119367
           1       0.52      0.93      0.66  21615229

    accuracy                           0.58  47734596
   macro avg       0.67      0.61      0.54  47734596
weighted avg       0.69      0.58      0.53  47734596

Accuracy: 0.5754493449572716
0-1%
              precision    recall  f1-score   support

           0       0.99      0.45      0.62  12053010
           1       0.07      0.90      0.12    508421

    accuracy                           0.47  12561431
   macro avg       0.53      0.68      0.37  12561431
weighted avg       0.95      0.47      0.60  12561431

Accuracy: 0.46967403634187854
1-10%
              precision    recall  f1-score   support

           0       0.65      0.14      0.23  13368467
           1       0.54      0.93      0.68  14466820

    accuracy                           0.55  27835287
   macro avg       0.59      0.54      0.46  27835287
weighted avg       0.59      0.55      0.47  27835287

Accuracy: 0.5508712735744381
10-20%
              precision    recall  f1-score   support

           0       0.18      0.11      0.13    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8223826471692697
20-40%
              precision    recall  f1-score   support

           0       0.10      0.11      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.87      0.87   2117913

Accuracy: 0.870333200655551
40-80%
              precision    recall  f1-score   support

           0       0.06      0.11      0.08     41616
           1       0.96      0.93      0.94   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.91   1105895

Accuracy: 0.8953264098309514
80-90%
              precision    recall  f1-score   support

           0       0.04      0.13      0.06      3093
           1       0.98      0.92      0.95    120943

    accuracy                           0.90    124036
   macro avg       0.51      0.53      0.51    124036
weighted avg       0.95      0.90      0.93    124036

Accuracy: 0.9049227643587345
90-100%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      2328
           1       0.98      0.93      0.95     97067

    accuracy                           0.91     99395
   macro avg       0.51      0.52      0.50     99395
weighted avg       0.96      0.91      0.93     99395

Accuracy: 0.9068866643191308

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6593091936925579
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6593091936925579
0-1%
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7790837684018644
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7790837684018644
1-10%
              precision    recall  f1-score   support

           0       0.80      0.59      0.68  25421477
           1       0.52      0.75      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6488780846008332
              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5901192252840791
10-20%
              precision    recall  f1-score   support

           0       0.77      0.58      0.66  25924842
           1       0.56      0.76      0.64  18362515

    accuracy                           0.65  44287357
   macro avg       0.67      0.67      0.65  44287357
weighted avg       0.68      0.65      0.66  44287357

Accuracy: 0.6537253058474454
              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.70   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.70      0.74   3890639

Accuracy: 0.7040542697484912
20-40%
              precision    recall  f1-score   support

           0       0.75      0.58      0.66  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.6570462578926919
              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7264901816080264
40-80%
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.60      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6589230131485936
              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.75      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7376749148879415
80-90%
              precision    recall  f1-score   support

           0       0.03      0.33      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7408494308104099
90-100%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7421500075456512

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.67      0.75      0.71  26119367
           1       0.65      0.56      0.60  21615229

    accuracy                           0.67  47734596
   macro avg       0.66      0.66      0.66  47734596
weighted avg       0.66      0.67      0.66  47734596

Accuracy: 0.6659124966722249
0-1%
              precision    recall  f1-score   support

           0       0.98      0.91      0.94  12053010
           1       0.19      0.49      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.70      0.61  12561431
weighted avg       0.95      0.90      0.92  12561431

Accuracy: 0.8967799926616641
1-10%
              precision    recall  f1-score   support

           0       0.57      0.63      0.59  13368467
           1       0.62      0.56      0.58  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.59  27835287
weighted avg       0.59      0.59      0.59  27835287

Accuracy: 0.589570138076895
10-20%
              precision    recall  f1-score   support

           0       0.14      0.49      0.22    503365
           1       0.88      0.57      0.69   3387274

    accuracy                           0.56   3890639
   macro avg       0.51      0.53      0.46   3890639
weighted avg       0.79      0.56      0.63   3890639

Accuracy: 0.5598941459230733
20-40%
              precision    recall  f1-score   support

           0       0.08      0.49      0.13    147488
           1       0.94      0.57      0.71   1970425

    accuracy                           0.56   2117913
   macro avg       0.51      0.53      0.42   2117913
weighted avg       0.88      0.56      0.67   2117913

Accuracy: 0.5607761036454283
40-80%
              precision    recall  f1-score   support

           0       0.04      0.49      0.08     41616
           1       0.97      0.56      0.71   1064279

    accuracy                           0.56   1105895
   macro avg       0.50      0.53      0.39   1105895
weighted avg       0.93      0.56      0.69   1105895

Accuracy: 0.5608769367797124
80-90%
              precision    recall  f1-score   support

           0       0.03      0.50      0.05      3093
           1       0.98      0.56      0.71    120943

    accuracy                           0.56    124036
   macro avg       0.50      0.53      0.38    124036
weighted avg       0.95      0.56      0.70    124036

Accuracy: 0.5600954561578897
90-100%
              precision    recall  f1-score   support

           0       0.03      0.48      0.05      2328
           1       0.98      0.56      0.71     97067

    accuracy                           0.56     99395
   macro avg       0.50      0.52      0.38     99395
weighted avg       0.96      0.56      0.70     99395

Accuracy: 0.5594446400724382

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.94      0.72  26119367
           1       0.72      0.17      0.28  21615229

    accuracy                           0.60  47734596
   macro avg       0.65      0.56      0.50  47734596
weighted avg       0.64      0.60      0.52  47734596

Accuracy: 0.5954824463162943
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.40      0.15      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.57      0.60  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9565823352450847
1-10%
              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.17      0.27  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.46  27835287
weighted avg       0.59      0.52      0.45  27835287

Accuracy: 0.5243259033039609
10-20%
              precision    recall  f1-score   support

           0       0.13      0.84      0.23    503365
           1       0.88      0.18      0.31   3387274

    accuracy                           0.27   3890639
   macro avg       0.51      0.51      0.27   3890639
weighted avg       0.79      0.27      0.30   3890639

Accuracy: 0.2688671449599924
20-40%
              precision    recall  f1-score   support

           0       0.07      0.83      0.13    147488
           1       0.94      0.19      0.31   1970425

    accuracy                           0.23   2117913
   macro avg       0.50      0.51      0.22   2117913
weighted avg       0.88      0.23      0.30   2117913

Accuracy: 0.23132819903367136
40-80%
              precision    recall  f1-score   support

           0       0.04      0.84      0.07     41616
           1       0.97      0.19      0.31   1064279

    accuracy                           0.21   1105895
   macro avg       0.50      0.51      0.19   1105895
weighted avg       0.93      0.21      0.30   1105895

Accuracy: 0.21072163270473238
80-90%
              precision    recall  f1-score   support

           0       0.03      0.84      0.05      3093
           1       0.98      0.19      0.32    120943

    accuracy                           0.20    124036
   macro avg       0.50      0.51      0.18    124036
weighted avg       0.95      0.20      0.31    124036

Accuracy: 0.204295527105034
90-100%
              precision    recall  f1-score   support

           0       0.02      0.83      0.05      2328
           1       0.98      0.19      0.31     97067

    accuracy                           0.20     99395
   macro avg       0.50      0.51      0.18     99395
weighted avg       0.96      0.20      0.31     99395

Accuracy: 0.2005634086221641

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789056306248
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595251528269351
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.48027042077920734
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.31      0.45  24893266
           1       0.53      0.92      0.67  20563095

    accuracy                           0.59  45456361
   macro avg       0.68      0.62      0.56  45456361
weighted avg       0.69      0.59      0.55  45456361

Accuracy: 0.5884104537096579
0-1%
              precision    recall  f1-score   support

           0       1.00      0.72      0.83   4873589
           1       0.00      0.91      0.01      3872

    accuracy                           0.72   4877461
   macro avg       0.50      0.81      0.42   4877461
weighted avg       1.00      0.72      0.83   4877461

Accuracy: 0.7162039839990519
1-10%
              precision    recall  f1-score   support

           0       0.86      0.23      0.36  16949103
           1       0.36      0.92      0.52   8016772

    accuracy                           0.45  24965875
   macro avg       0.61      0.57      0.44  24965875
weighted avg       0.70      0.45      0.41  24965875

Accuracy: 0.45034692355064665
10-20%
              precision    recall  f1-score   support

           0       0.40      0.13      0.20   2057494
           1       0.74      0.93      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7092624340805863
20-40%
              precision    recall  f1-score   support

           0       0.24      0.13      0.17    744974
           1       0.85      0.93      0.89   4060539

    accuracy                           0.80   4805513
   macro avg       0.55      0.53      0.53   4805513
weighted avg       0.76      0.80      0.78   4805513

Accuracy: 0.8019239569219769
40-80%
              precision    recall  f1-score   support

           0       0.14      0.13      0.14    235909
           1       0.92      0.92      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8548073967416803
80-90%
              precision    recall  f1-score   support

           0       0.10      0.14      0.11     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.88    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.89      0.88      0.88    315349

Accuracy: 0.8753159198221653
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.94    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.8795212524967596

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755462013336263
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755462013336263
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479210597480944
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479210597480944
1-10%
              precision    recall  f1-score   support

           0       0.83      0.54      0.65  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6124068553575631
              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.6672417922714806
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666354673972631
              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6642288176733855
20-40%
              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6712092410318193
              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7067694957853615
40-80%
              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.7296358694613051
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747492708553352
80-90%
              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.7371737344973347
90-100%
              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.739911515232696

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.76      0.73  24893266
           1       0.67      0.60      0.63  20563095

    accuracy                           0.69  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.68      0.69      0.68  45456361

Accuracy: 0.6853694909717916
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9888593676095001
1-10%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  16949103
           1       0.51      0.59      0.55   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.66      0.65  24965875
weighted avg       0.70      0.69      0.69  24965875

Accuracy: 0.6865130503136782
10-20%
              precision    recall  f1-score   support

           0       0.34      0.54      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5877176088792536
20-40%
              precision    recall  f1-score   support

           0       0.19      0.51      0.28    744974
           1       0.87      0.60      0.71   4060539

    accuracy                           0.59   4805513
   macro avg       0.53      0.56      0.50   4805513
weighted avg       0.77      0.59      0.65   4805513

Accuracy: 0.5898589807165229
40-80%
              precision    recall  f1-score   support

           0       0.11      0.51      0.18    235909
           1       0.93      0.60      0.73   2483775

    accuracy                           0.59   2719684
   macro avg       0.52      0.55      0.45   2719684
weighted avg       0.86      0.59      0.68   2719684

Accuracy: 0.5896339427668803
80-90%
              precision    recall  f1-score   support

           0       0.07      0.51      0.13     18577
           1       0.95      0.59      0.73    296772

    accuracy                           0.59    315349
   macro avg       0.51      0.55      0.43    315349
weighted avg       0.90      0.59      0.69    315349

Accuracy: 0.5880690917047462
90-100%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12     13620
           1       0.96      0.59      0.73    240209

    accuracy                           0.59    253829
   macro avg       0.51      0.55      0.42    253829
weighted avg       0.91      0.59      0.70    253829

Accuracy: 0.5885773493178479

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.38  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6240705453742766
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.25      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988602676679527
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7087652245314855
10-20%
              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.26      0.40   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.41   7518650

Accuracy: 0.4141135709203115
20-40%
              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.3480512902576686
40-80%
              precision    recall  f1-score   support

           0       0.09      0.79      0.17    235909
           1       0.93      0.27      0.41   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.39   2719684

Accuracy: 0.3115865666746578
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.26      0.41    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.29552337251743305
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.26      0.41    240209

    accuracy                           0.29    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.29      0.40    253829

Accuracy: 0.2930319230663163

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.37      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.601860858556032
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9667625592016511
1-10%
              precision    recall  f1-score   support

           0       0.97      0.43      0.59  11439888
           1       0.15      0.90      0.26   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.4739205090071918
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.46   8856813

Accuracy: 0.5138872187998098
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6609046030027698
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7643621781509936
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.21    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8079636674018048
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8164515935418042

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961267219716306
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961267219716306
0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993290318251818
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7609563728093933
              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7318892445514089
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7035804326916338
              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.611194116890579
20-40%
              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6925511505088479
              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628296945043562
40-80%

              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.706921723939412
80-90%
              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7251175480923412
90-100%
              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7289253346137686

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7204605311528344
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.73      0.67  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8359139233065453
10-20%
              precision    recall  f1-score   support

           0       0.71      0.67      0.69   5044441
           1       0.59      0.64      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6561279999927739
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6399417961435924
40-80%
              precision    recall  f1-score   support

           0       0.30      0.59      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6384820439521172
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.636448296107715
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.75    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6364804033371346

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.41      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6939022560539874
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9025836004473543
10-20%
              precision    recall  f1-score   support

           0       0.66      0.87      0.75   5044441
           1       0.69      0.40      0.51   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.63   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6646752054040206
20-40%
              precision    recall  f1-score   support

           0       0.43      0.81      0.56   2995598
           1       0.80      0.41      0.55   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5521397890360823
40-80%
              precision    recall  f1-score   support

           0       0.25      0.77      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.49   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.49      0.52   6296625

Accuracy: 0.4870548905167451
80-90%
              precision    recall  f1-score   support

           0       0.18      0.76      0.29    117971
           1       0.91      0.41      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.59      0.43    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4594588594011338
90-100%
              precision    recall  f1-score   support

           0       0.17      0.76      0.27     88944
           1       0.92      0.41      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.53    666440

Accuracy: 0.4545510473561011

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.70  28055468
           1       0.62      0.95      0.75  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.75      0.72  49785283
weighted avg       0.80      0.73      0.72  49785283

Accuracy: 0.7257770333453764
0-1%
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  27764588
           1       0.57      0.93      0.70  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.75      0.70  44863141
weighted avg       0.79      0.70      0.70  44863141

Accuracy: 0.7021744866236629
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766295172008965
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766295172008965
0-1%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471380570522247
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471380570522247
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7641360852691077
10-20%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.7653238955652405
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7659301878073398
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.83      0.76      0.79  28055468
           1       0.72      0.80      0.76  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.78  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.776866930735334
0-1%
              precision    recall  f1-score   support

           0       0.83      0.77      0.80  27764588
           1       0.66      0.74      0.70  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.77      0.76      0.76  44863141

Accuracy: 0.7588701156702337
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9354087312523204
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.81  28055468
           1       0.78      0.66      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.76      0.76  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7690296548078275
0-1%
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  27764588
           1       0.72      0.57      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.72      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7502877027714132
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9342538357824889
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905410445609084
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.35      0.50  21729815

    accuracy                           0.69  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.69      0.66  49785283

Accuracy: 0.694558209099665
0-1%
              precision    recall  f1-score   support

           0       0.67      0.97      0.79  27764588
           1       0.79      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6781949351250284
1-10%
              precision    recall  f1-score   support

           0       0.08      0.16      0.11    287564
           1       0.94      0.88      0.91   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.83      0.86   4452351

Accuracy: 0.833451585465746
10-20%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9368441694767967
20-40%
              precision    recall  f1-score   support

           0       0.01      0.09      0.02       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9447674640127413
40-80%
              precision    recall  f1-score   support

           0       0.01      0.15      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.95     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.95      0.97     65403

Accuracy: 0.9471889668669633
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.95      7386
   macro avg       0.50      0.54      0.49      7386
weighted avg       1.00      0.95      0.97      7386

Accuracy: 0.9505821825074465
90-100%
              precision    recall  f1-score   support

           0       0.02      0.28      0.03        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.51      0.61      0.50      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9481065918653576

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.49      0.64  26119367
           1       0.61      0.95      0.74  21615229

    accuracy                           0.70  47734596
   macro avg       0.77      0.72      0.69  47734596
weighted avg       0.78      0.70      0.69  47734596

Accuracy: 0.7020233710577545
0-1%
              precision    recall  f1-score   support

           0       0.98      0.88      0.92  12053010
           1       0.15      0.51      0.23    508421

    accuracy                           0.86  12561431
   macro avg       0.56      0.69      0.58  12561431
weighted avg       0.94      0.86      0.90  12561431

Accuracy: 0.861267637421246
1-10%
              precision    recall  f1-score   support

           0       0.76      0.17      0.28  13368467
           1       0.55      0.95      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.56      0.49  27835287
weighted avg       0.65      0.58      0.50  27835287

Accuracy: 0.5768482645786982
10-20%
              precision    recall  f1-score   support

           0       0.18      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.53      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8696370956030616
20-40%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.51      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9300216769999523
40-80%
              precision    recall  f1-score   support

           0       0.04      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.50      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9622577188611938
80-90%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.61      0.50      0.49    124036
weighted avg       0.96      0.98      0.96    124036

Accuracy: 0.9750475668354349
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9765581769706726

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410362915818959
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410363125310624
0-1%
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262706613601587
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262706613601587
1-10%
              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.76      0.71      0.72  40396718

Accuracy: 0.7132826483577206
              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6171659735356779
10-20%

              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8554936605529323
20-40%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26072330
           1       0.65      0.86      0.74  20332940

    accuracy                           0.73  46405270
   macro avg       0.75      0.75      0.73  46405270
weighted avg       0.76      0.73      0.73  46405270

Accuracy: 0.7347420454616469
              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9222324052026688
40-80%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399448950578248
              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9582654772831055
80-90%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721613080073527
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9743146033502691

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.80      0.72      0.76  26119367
           1       0.70      0.78      0.74  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7474979153484403
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.15      0.18    508421

    accuracy                           0.94  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.94      0.94  12561431

Accuracy: 0.9442247463684671
1-10%
              precision    recall  f1-score   support

           0       0.63      0.52      0.57  13368467
           1       0.62      0.72      0.67  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.62      0.62  27835287
weighted avg       0.63      0.63      0.62  27835287

Accuracy: 0.6252443166833523
10-20%
              precision    recall  f1-score   support

           0       0.16      0.07      0.10    503365
           1       0.87      0.94      0.91   3387274

    accuracy                           0.83   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.83      0.80   3890639

Accuracy: 0.8299675194743075
20-40%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.91      0.89   2117913

Accuracy: 0.9069258274537245
40-80%
              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.99      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9500513159025044
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.966880583056532
90-100%
              precision    recall  f1-score   support

           0       0.03      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9694954474571156

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.84      0.76  26119367
           1       0.74      0.54      0.62  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.70  47734596

Accuracy: 0.703846723663483
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.06      0.09    508421

    accuracy                           0.95  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9548723389874928
1-10%
              precision    recall  f1-score   support

           0       0.56      0.73      0.63  13368467
           1       0.65      0.48      0.55  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.60      0.59  27835287

Accuracy: 0.5968417354561496
10-20%
              precision    recall  f1-score   support

           0       0.15      0.36      0.21    503365
           1       0.88      0.69      0.78   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.49   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6519402082794111
20-40%
              precision    recall  f1-score   support

           0       0.08      0.33      0.13    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.7003502976751169
40-80%
              precision    recall  f1-score   support

           0       0.04      0.31      0.08     41616
           1       0.96      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7280835884057709
80-90%
              precision    recall  f1-score   support

           0       0.03      0.30      0.05      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7379147989293431
90-100%
              precision    recall  f1-score   support

           0       0.03      0.28      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7400573469490417

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.82      0.02      0.03  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.37  47734596
weighted avg       0.67      0.55      0.40  47734596

Accuracy: 0.5529226014607938
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.46      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.71      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595244363480562
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.71      0.01      0.02  14466820

    accuracy                           0.48  27835287
   macro avg       0.60      0.50      0.33  27835287
weighted avg       0.60      0.48      0.32  27835287

Accuracy: 0.4835334013261656
10-20%
              precision    recall  f1-score   support

           0       0.13      0.98      0.23    503365
           1       0.88      0.03      0.05   3387274

    accuracy                           0.15   3890639
   macro avg       0.51      0.50      0.14   3890639
weighted avg       0.78      0.15      0.08   3890639

Accuracy: 0.14965665023149155
20-40%
              precision    recall  f1-score   support

           0       0.07      0.97      0.13    147488
           1       0.94      0.03      0.06   1970425

    accuracy                           0.10   2117913
   macro avg       0.50      0.50      0.10   2117913
weighted avg       0.88      0.10      0.07   2117913

Accuracy: 0.09791384254216297
40-80%
              precision    recall  f1-score   support

           0       0.04      0.97      0.07     41616
           1       0.97      0.04      0.07   1064279

    accuracy                           0.07   1105895
   macro avg       0.50      0.50      0.07   1105895
weighted avg       0.93      0.07      0.07   1105895

Accuracy: 0.07080057329131609
80-90%
              precision    recall  f1-score   support

           0       0.03      0.97      0.05      3093
           1       0.98      0.04      0.07    120943

    accuracy                           0.06    124036
   macro avg       0.50      0.50      0.06    124036
weighted avg       0.96      0.06      0.07    124036

Accuracy: 0.06039375665129479
90-100%
              precision    recall  f1-score   support

           0       0.02      0.97      0.05      2328
           1       0.98      0.04      0.07     97067

    accuracy                           0.06     99395
   macro avg       0.50      0.50      0.06     99395
weighted avg       0.96      0.06      0.07     99395

Accuracy: 0.05859449670506565

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.91      0.37      0.53  24893266
           1       0.56      0.96      0.71  20563095

    accuracy                           0.64  45456361
   macro avg       0.74      0.67      0.62  45456361
weighted avg       0.75      0.64      0.61  45456361

Accuracy: 0.6377514909299493
0-1%
              precision    recall  f1-score   support

           0       1.00      0.92      0.96   4873589
           1       0.01      0.77      0.02      3872

    accuracy                           0.92   4877461
   macro avg       0.50      0.84      0.49   4877461
weighted avg       1.00      0.92      0.96   4877461

Accuracy: 0.9205190979487073
1-10%
              precision    recall  f1-score   support

           0       0.89      0.27      0.42  16949103
           1       0.38      0.93      0.54   8016772

    accuracy                           0.49  24965875
   macro avg       0.64      0.60      0.48  24965875
weighted avg       0.73      0.49      0.46  24965875

Accuracy: 0.48552678406024224
10-20%
              precision    recall  f1-score   support

           0       0.41      0.06      0.10   2057494
           1       0.73      0.97      0.83   5461156

    accuracy                           0.72   7518650
   macro avg       0.57      0.51      0.47   7518650
weighted avg       0.64      0.72      0.63   7518650

Accuracy: 0.718843675393854
20-40%
              precision    recall  f1-score   support

           0       0.24      0.04      0.07    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.54      0.51      0.49   4805513
weighted avg       0.75      0.83      0.78   4805513

Accuracy: 0.8318025567717744
40-80%
              precision    recall  f1-score   support

           0       0.14      0.03      0.05    235909
           1       0.91      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.52      0.51      0.50   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8997626194807926
80-90%
              precision    recall  f1-score   support

           0       0.09      0.02      0.04     18577
           1       0.94      0.98      0.96    296772

    accuracy                           0.93    315349
   macro avg       0.51      0.50      0.50    315349
weighted avg       0.89      0.93      0.91    315349

Accuracy: 0.9277720874332882
90-100%
              precision    recall  f1-score   support

           0       0.08      0.02      0.03     13620
           1       0.95      0.98      0.97    240209

    accuracy                           0.93    253829
   macro avg       0.51      0.50      0.50    253829
weighted avg       0.90      0.93      0.92    253829

Accuracy: 0.9331124497200871

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798796982450926
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798797202442141
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9683058460129154
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9683058460129154
1-10%
              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5884040114756642
              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.650493497107696
10-20%
              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582244048804043
              precision    recall  f1-score   support

           0       0.39      0.24      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6889102431952545
20-40%
              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699554080738818
              precision    recall  f1-score   support

           0       0.23      0.22      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7611618156063671
40-80%
              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8040147311231746
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24861069
           1       0.60      0.84      0.70  20026114

    accuracy                           0.68  44887183
   macro avg       0.71      0.69      0.68  44887183
weighted avg       0.72      0.68      0.67  44887183

Accuracy: 0.6780779716116291
80-90%
              precision    recall  f1-score   support

           0       0.09      0.21      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8201357860655971
90-100%
              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8242517600431787

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.65      0.70  24893266
           1       0.64      0.76      0.70  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.6992710877142145
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.54      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9858723626903424
1-10%
              precision    recall  f1-score   support

           0       0.83      0.60      0.70  16949103
           1       0.47      0.73      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.63  24965875
weighted avg       0.71      0.65      0.66  24965875

Accuracy: 0.6459158351149319
10-20%
              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6641225485958251
20-40%
              precision    recall  f1-score   support

           0       0.22      0.35      0.27    744974
           1       0.87      0.78      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.55      0.56      0.55   4805513
weighted avg       0.77      0.71      0.74   4805513

Accuracy: 0.7119543740699484
40-80%
              precision    recall  f1-score   support

           0       0.13      0.34      0.19    235909
           1       0.93      0.78      0.84   2483775

    accuracy                           0.74   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.74      0.79   2719684

Accuracy: 0.7391696976560512
80-90%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14     18577
           1       0.95      0.77      0.85    296772

    accuracy                           0.75    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.75      0.81    315349

Accuracy: 0.7485452625503807
90-100%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13     13620
           1       0.95      0.78      0.86    240209

    accuracy                           0.75    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.75      0.82    253829

Accuracy: 0.7522347722285475

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.36      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6008948736981385
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9674109467167398
1-10%
              precision    recall  f1-score   support

           0       0.97      0.42      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.47123838109078187
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.45   8856813

Accuracy: 0.512843954140163
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6608401418704429
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.54   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.764922478311794
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.20    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.808783913796421
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8172918792389412

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950427252204286
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950427252204286
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992832253440164
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992832253440164
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7582692870678608
              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7288800815911919
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7013371578876155
              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096654631863628
20-40%
              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6909201657290274
              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628486948019499
40-80%

              precision    recall  f1-score   support

           0       0.33      0.41      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.70798864471046
80-90%
              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7265989254155504
90-100%
              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.73041384070584

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7205077308430949
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.74      0.66  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8353577198521993
10-20%
              precision    recall  f1-score   support

           0       0.71      0.66      0.69   5044441
           1       0.59      0.65      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6560384644002306
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.640384398167905
40-80%
              precision    recall  f1-score   support

           0       0.30      0.58      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.639221487701745
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.637287044300706
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.76    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6373702058699958

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.40      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6930358643160157
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.903030765996789
10-20%
              precision    recall  f1-score   support

           0       0.65      0.87      0.75   5044441
           1       0.69      0.40      0.50   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.62   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6643726134897507
20-40%
              precision    recall  f1-score   support

           0       0.42      0.81      0.56   2995598
           1       0.80      0.41      0.54   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5504544742961526
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.48   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.48      0.52   6296625

Accuracy: 0.48422305600222343
80-90%
              precision    recall  f1-score   support

           0       0.18      0.77      0.29    117971
           1       0.91      0.40      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.58      0.42    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.45620007598071866
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.40      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4511448892623492

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.84      0.23      0.37  28055468
           1       0.49      0.94      0.64  21729815

    accuracy                           0.54  49785283
   macro avg       0.66      0.59      0.50  49785283
weighted avg       0.68      0.54      0.49  49785283

Accuracy: 0.5427700792621788
0-1%
              precision    recall  f1-score   support

           0       0.87      0.24      0.37  27764588
           1       0.43      0.94      0.59  17098553

    accuracy                           0.50  44863141
   macro avg       0.65      0.59      0.48  44863141
weighted avg       0.70      0.50      0.45  44863141

Accuracy: 0.5044548262904731
1-10%
              precision    recall  f1-score   support

           0       0.08      0.07      0.07    287564
           1       0.94      0.94      0.94   4164787

    accuracy                           0.89   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.89      0.88   4452351

Accuracy: 0.8872907818813027
10-20%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.93      0.96    260071

Accuracy: 0.9342102733484318
20-40%
              precision    recall  f1-score   support

           0       0.01      0.10      0.02       659
           1       1.00      0.94      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.94      0.96    131227

Accuracy: 0.9394179551464257
40-80%
              precision    recall  f1-score   support

           0       0.01      0.16      0.01       169
           1       1.00      0.94      0.97     65234

    accuracy                           0.94     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.94      0.97     65403

Accuracy: 0.9396205067045854
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.94      0.97      7371

    accuracy                           0.94      7386
   macro avg       0.50      0.54      0.49      7386
weighted avg       1.00      0.94      0.97      7386

Accuracy: 0.9406986190089358
90-100%
              precision    recall  f1-score   support

           0       0.02      0.28      0.03        18
           1       1.00      0.94      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.51      0.61      0.50      5704
weighted avg       0.99      0.94      0.97      5704

Accuracy: 0.9403927068723703

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6286199076140634
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6286199076140634
0-1%
              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615548764184835
              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615548764184835
1-10%
              precision    recall  f1-score   support

           0       0.07      0.24      0.11    287564
           1       0.94      0.78      0.85   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.80   4452351

Accuracy: 0.7451294832774864
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28052152
           1       0.55      0.77      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.63  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6272477013916844
10-20%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28054607
           1       0.55      0.77      0.64  21520956

    accuracy                           0.63  49575563
   macro avg       0.65      0.64      0.63  49575563
weighted avg       0.66      0.63      0.63  49575563

Accuracy: 0.627999322972893
              precision    recall  f1-score   support

           0       0.01      0.25      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.77    260071
   macro avg       0.50      0.51      0.44    260071
weighted avg       0.98      0.77      0.86    260071

Accuracy: 0.7705242030061021
20-40%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055266
           1       0.55      0.77      0.64  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.63  49706790

Accuracy: 0.6283882342834852
              precision    recall  f1-score   support

           0       0.01      0.28      0.01       659
           1       1.00      0.78      0.87    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.53      0.44    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7753130072317435
40-80%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055435
           1       0.55      0.77      0.64  21716758

    accuracy                           0.63  49772193
   macro avg       0.65      0.64      0.63  49772193
weighted avg       0.66      0.63      0.63  49772193

Accuracy: 0.6285807418612236
              precision    recall  f1-score   support

           0       0.00      0.28      0.01       169
           1       1.00      0.78      0.87     65234

    accuracy                           0.77     65403
   macro avg       0.50      0.53      0.44     65403
weighted avg       1.00      0.77      0.87     65403

Accuracy: 0.7748880020794153
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01        15
           1       1.00      0.77      0.87      7371

    accuracy                           0.77      7386
   macro avg       0.50      0.55      0.44      7386
weighted avg       1.00      0.77      0.87      7386

Accuracy: 0.7705117790414298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.56      0.45      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7866409537166901

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.66      0.76      0.71  28055468
           1       0.61      0.49      0.54  21729815

    accuracy                           0.64  49785283
   macro avg       0.64      0.63      0.63  49785283
weighted avg       0.64      0.64      0.64  49785283

Accuracy: 0.6429305021727003
0-1%
              precision    recall  f1-score   support

           0       0.71      0.77      0.73  27764588
           1       0.56      0.48      0.52  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.62      0.63  44863141
weighted avg       0.65      0.66      0.65  44863141

Accuracy: 0.6570415566756683
1-10%
              precision    recall  f1-score   support

           0       0.07      0.50      0.12    287564
           1       0.94      0.52      0.66   4164787

    accuracy                           0.51   4452351
   macro avg       0.50      0.51      0.39   4452351
weighted avg       0.88      0.51      0.63   4452351

Accuracy: 0.5141369132846894
10-20%
              precision    recall  f1-score   support

           0       0.01      0.49      0.02      2455
           1       0.99      0.52      0.68    257616

    accuracy                           0.52    260071
   macro avg       0.50      0.50      0.35    260071
weighted avg       0.98      0.52      0.67    260071

Accuracy: 0.5153631123808499
20-40%
              precision    recall  f1-score   support

           0       0.01      0.54      0.01       659
           1       1.00      0.52      0.68    130568

    accuracy                           0.52    131227
   macro avg       0.50      0.53      0.35    131227
weighted avg       0.99      0.52      0.68    131227

Accuracy: 0.5159685125774421
40-80%
              precision    recall  f1-score   support

           0       0.00      0.51      0.01       169
           1       1.00      0.52      0.68     65234

    accuracy                           0.52     65403
   macro avg       0.50      0.51      0.34     65403
weighted avg       0.99      0.52      0.68     65403

Accuracy: 0.5182178187544914
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.51      0.68      7371

    accuracy                           0.51      7386
   macro avg       0.50      0.42      0.34      7386
weighted avg       1.00      0.51      0.68      7386

Accuracy: 0.5139453019225562
90-100%
              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.52      0.69      5686

    accuracy                           0.52      5704
   macro avg       0.50      0.54      0.35      5704
weighted avg       0.99      0.52      0.68      5704

Accuracy: 0.5227910238429172

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.28      0.42  26119367
           1       0.52      0.93      0.66  21615229

    accuracy                           0.57  47734596
   macro avg       0.67      0.60      0.54  47734596
weighted avg       0.69      0.57      0.53  47734596

Accuracy: 0.5741434158152297
0-1%
              precision    recall  f1-score   support

           0       0.99      0.45      0.62  12053010
           1       0.06      0.91      0.12    508421

    accuracy                           0.47  12561431
   macro avg       0.53      0.68      0.37  12561431
weighted avg       0.95      0.47      0.60  12561431

Accuracy: 0.4651880824724508
1-10%
              precision    recall  f1-score   support

           0       0.65      0.14      0.23  13368467
           1       0.54      0.93      0.68  14466820

    accuracy                           0.55  27835287
   macro avg       0.59      0.53      0.46  27835287
weighted avg       0.59      0.55      0.47  27835287

Accuracy: 0.550356100154455
10-20%
              precision    recall  f1-score   support

           0       0.18      0.10      0.13    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8233698885967061
20-40%
              precision    recall  f1-score   support

           0       0.10      0.11      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.87      0.87   2117913

Accuracy: 0.8715792386183946
40-80%
              precision    recall  f1-score   support

           0       0.06      0.11      0.08     41616
           1       0.96      0.93      0.95   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.91   1105895

Accuracy: 0.8967117131373231
80-90%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      3093
           1       0.98      0.93      0.95    120943

    accuracy                           0.91    124036
   macro avg       0.51      0.53      0.51    124036
weighted avg       0.95      0.91      0.93    124036

Accuracy: 0.9065110129317295
90-100%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      2328
           1       0.98      0.93      0.95     97067

    accuracy                           0.91     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.91      0.93     99395

Accuracy: 0.9083253684792998

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6590226300438365
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6590226300438365
0-1%
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7775252676227732
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7775252676227732
1-10%
              precision    recall  f1-score   support

           0       0.80      0.59      0.68  25421477
           1       0.52      0.76      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6483005129278077
              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5899843245733374
10-20%

              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.71   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.71      0.74   3890639

Accuracy: 0.7052293980500376
20-40%
              precision    recall  f1-score   support

           0       0.75      0.58      0.65  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.656706856785878
              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7279113920165748
40-80%
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.60      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6586280929966672
              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.76      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.47   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7392464926597914
80-90%
              precision    recall  f1-score   support

           0       0.03      0.32      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.51      0.54      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7423328711019381
90-100%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7436490769153378

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.67      0.76      0.71  26119367
           1       0.65      0.56      0.60  21615229

    accuracy                           0.67  47734596
   macro avg       0.66      0.66      0.66  47734596
weighted avg       0.66      0.67      0.66  47734596

Accuracy: 0.6658257042753646
0-1%
              precision    recall  f1-score   support

           0       0.98      0.91      0.94  12053010
           1       0.19      0.49      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.70      0.61  12561431
weighted avg       0.95      0.90      0.92  12561431

Accuracy: 0.8971429290181987
1-10%
              precision    recall  f1-score   support

           0       0.57      0.63      0.59  13368467
           1       0.62      0.56      0.58  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.59  27835287
weighted avg       0.59      0.59      0.59  27835287

Accuracy: 0.5894819766004209
10-20%
              precision    recall  f1-score   support

           0       0.14      0.49      0.22    503365
           1       0.88      0.57      0.69   3387274

    accuracy                           0.56   3890639
   macro avg       0.51      0.53      0.46   3890639
weighted avg       0.79      0.56      0.63   3890639

Accuracy: 0.5590942773153715
20-40%
              precision    recall  f1-score   support

           0       0.08      0.49      0.13    147488
           1       0.94      0.57      0.71   1970425

    accuracy                           0.56   2117913
   macro avg       0.51      0.53      0.42   2117913
weighted avg       0.88      0.56      0.67   2117913

Accuracy: 0.5598851322032586
40-80%
              precision    recall  f1-score   support

           0       0.04      0.49      0.08     41616
           1       0.97      0.56      0.71   1064279

    accuracy                           0.56   1105895
   macro avg       0.50      0.53      0.39   1105895
weighted avg       0.93      0.56      0.69   1105895

Accuracy: 0.5599509899221897
80-90%
              precision    recall  f1-score   support

           0       0.03      0.50      0.05      3093
           1       0.98      0.56      0.71    120943

    accuracy                           0.56    124036
   macro avg       0.50      0.53      0.38    124036
weighted avg       0.95      0.56      0.70    124036

Accuracy: 0.5590151246412332
90-100%
              precision    recall  f1-score   support

           0       0.03      0.48      0.05      2328
           1       0.98      0.56      0.71     97067

    accuracy                           0.56     99395
   macro avg       0.50      0.52      0.38     99395
weighted avg       0.96      0.56      0.70     99395

Accuracy: 0.5585291010614216

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.27  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.5930795978665033
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9569498889099498
1-10%
              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.16      0.26  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.45  27835287

Accuracy: 0.5221420206660704
10-20%
              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.29   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.2614686173659391
20-40%
              precision    recall  f1-score   support

           0       0.07      0.84      0.13    147488
           1       0.94      0.18      0.30   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.29   2117913

Accuracy: 0.22299310689343707
40-80%
              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.18      0.30   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.19   1105895
weighted avg       0.93      0.20      0.29   1105895

Accuracy: 0.20169093810895247
80-90%
              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.18      0.30    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.18    124036
weighted avg       0.95      0.19      0.30    124036

Accuracy: 0.1948305330710439
90-100%
              precision    recall  f1-score   support

           0       0.02      0.84      0.05      2328
           1       0.98      0.18      0.30     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.29     99395

Accuracy: 0.19122692288344484

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.31      0.45  24893266
           1       0.53      0.92      0.67  20563095

    accuracy                           0.59  45456361
   macro avg       0.68      0.62      0.56  45456361
weighted avg       0.69      0.59      0.55  45456361

Accuracy: 0.588633216812054
0-1%
              precision    recall  f1-score   support

           0       1.00      0.72      0.84   4873589
           1       0.00      0.91      0.01      3872

    accuracy                           0.72   4877461
   macro avg       0.50      0.81      0.42   4877461
weighted avg       1.00      0.72      0.83   4877461

Accuracy: 0.7169957894076446
1-10%
              precision    recall  f1-score   support

           0       0.86      0.23      0.36  16949103
           1       0.36      0.92      0.52   8016772

    accuracy                           0.45  24965875
   macro avg       0.61      0.57      0.44  24965875
weighted avg       0.70      0.45      0.41  24965875

Accuracy: 0.4506641165190485
10-20%
              precision    recall  f1-score   support

           0       0.40      0.13      0.20   2057494
           1       0.74      0.93      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7092088340327053
20-40%
              precision    recall  f1-score   support

           0       0.24      0.13      0.17    744974
           1       0.85      0.93      0.89   4060539

    accuracy                           0.80   4805513
   macro avg       0.55      0.53      0.53   4805513
weighted avg       0.76      0.80      0.78   4805513

Accuracy: 0.8017901522688629
40-80%
              precision    recall  f1-score   support

           0       0.14      0.13      0.14    235909
           1       0.92      0.92      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8546268610617999
80-90%
              precision    recall  f1-score   support

           0       0.10      0.14      0.11     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.88    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.89      0.88      0.88    315349

Accuracy: 0.8751193122540424
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.94    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.8793006315275245

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755559249452459
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755559249452459
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479493531573087
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479493531573087
1-10%
              precision    recall  f1-score   support

           0       0.83      0.54      0.66  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6124436255488742
              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.667277177055541
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666577360207779
              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6641990250909405
20-40%
              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6712240865885833
              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7067266283537262
40-80%
              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.7295781421665164
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747597192722029
80-90%
              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.7371325103298251
90-100%
              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.7398563599903872

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.76      0.73  24893266
           1       0.67      0.60      0.63  20563095

    accuracy                           0.69  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.68      0.69      0.68  45456361

Accuracy: 0.6853808425183882
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9888275887803101
1-10%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  16949103
           1       0.51      0.59      0.55   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.66      0.65  24965875
weighted avg       0.70      0.69      0.69  24965875

Accuracy: 0.6864149964701818
10-20%
              precision    recall  f1-score   support

           0       0.34      0.53      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5878621827056719
20-40%
              precision    recall  f1-score   support

           0       0.19      0.51      0.28    744974
           1       0.87      0.60      0.71   4060539

    accuracy                           0.59   4805513
   macro avg       0.53      0.56      0.50   4805513
weighted avg       0.77      0.59      0.65   4805513

Accuracy: 0.5900872601946973
40-80%
              precision    recall  f1-score   support

           0       0.11      0.51      0.18    235909
           1       0.93      0.60      0.73   2483775

    accuracy                           0.59   2719684
   macro avg       0.52      0.55      0.45   2719684
weighted avg       0.86      0.59      0.68   2719684

Accuracy: 0.5899218438612721
80-90%
              precision    recall  f1-score   support

           0       0.07      0.51      0.13     18577
           1       0.95      0.59      0.73    296772

    accuracy                           0.59    315349
   macro avg       0.51      0.55      0.43    315349
weighted avg       0.90      0.59      0.70    315349

Accuracy: 0.5883291210690378
90-100%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12     13620
           1       0.96      0.59      0.73    240209

    accuracy                           0.59    253829
   macro avg       0.51      0.55      0.42    253829
weighted avg       0.91      0.59      0.70    253829

Accuracy: 0.5888531255293918

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.38  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6245204274050886
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.25      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988557571244547
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7089028123388426
10-20%
              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.4150061513702593
20-40%
              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.34924325457032374
40-80%
              precision    recall  f1-score   support

           0       0.09      0.79      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.39   2719684

Accuracy: 0.3129749632677914
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.2969218231229527
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.29    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.29      0.40    253829

Accuracy: 0.2945329335891486

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.37      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6019079822403501
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9668083656828166
1-10%
              precision    recall  f1-score   support

           0       0.97      0.43      0.59  11439888
           1       0.15      0.90      0.26   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.4740468545160574
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.48   8856813
weighted avg       0.64      0.51      0.46   8856813

Accuracy: 0.5139180425283902
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6609094987849717
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7643448672900165
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.21    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8079525663227799
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8164305863993758

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961702480413395
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961702480413395
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993316124720081
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993316124720081
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7610588187859696
              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7320038680921419
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7036668156415689
              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.611254635273433
20-40%
              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6926148162396577
              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628321423954573
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.78      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6949805737445209
              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7068896432612709
80-90%
              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7250583423375419
90-100%
              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7288503091050957

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7204534119295583
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.73      0.67  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8359920435371204
10-20%
              precision    recall  f1-score   support

           0       0.71      0.67      0.69   5044441
           1       0.59      0.64      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.656142903773626
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6398741877227071
40-80%
              precision    recall  f1-score   support

           0       0.30      0.59      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6383792904929227
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6363286511448912
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.75    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.636357361502911

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.41      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6938594140377604
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9026036615337558
10-20%
              precision    recall  f1-score   support

           0       0.66      0.87      0.75   5044441
           1       0.69      0.40      0.51   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.63   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6646632372163667
20-40%
              precision    recall  f1-score   support

           0       0.43      0.81      0.56   2995598
           1       0.80      0.41      0.55   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5520550453774898
40-80%
              precision    recall  f1-score   support

           0       0.25      0.77      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.49   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.49      0.52   6296625

Accuracy: 0.4869195799336946
80-90%
              precision    recall  f1-score   support

           0       0.18      0.76      0.29    117971
           1       0.91      0.41      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.59      0.43    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4592812421367357
90-100%
              precision    recall  f1-score   support

           0       0.17      0.76      0.27     88944
           1       0.92      0.41      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4543754876658064

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  28055468
           1       0.62      0.95      0.75  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.75      0.72  49785283
weighted avg       0.80      0.73      0.72  49785283

Accuracy: 0.7255593987484213
0-1%
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  27764588
           1       0.57      0.93      0.70  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.75      0.70  44863141
weighted avg       0.79      0.70      0.70  44863141

Accuracy: 0.7019329743318685
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766106501794918
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766106501794918
0-1%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7469286869593014
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7469286869593014
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7639456177381339
10-20%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.7651344272177
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7657412196603322
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055435
           1       0.68      0.87      0.76  21716758

    accuracy                           0.77  49772193
   macro avg       0.78      0.78      0.77  49772193
weighted avg       0.79      0.77      0.77  49772193

Accuracy: 0.7660456512334106
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.83      0.76      0.79  28055468
           1       0.72      0.80      0.76  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.78  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.776786706224006
0-1%
              precision    recall  f1-score   support

           0       0.83      0.77      0.80  27764588
           1       0.66      0.74      0.70  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.77      0.76      0.76  44863141

Accuracy: 0.7587836972894965
1-10%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.59      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9353824530006731
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.81  28055468
           1       0.78      0.66      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.76      0.76  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691218105559428
0-1%
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  27764588
           1       0.72      0.57      0.64  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.72      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.750495155923211
1-10%
              precision    recall  f1-score   support

           0       0.13      0.01      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.53      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9332572836238653
10-20%
              precision    recall  f1-score   support

           0       0.17      0.02      0.03      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.58      0.51      0.51    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9899181377393097
20-40%
              precision    recall  f1-score   support

           0       0.20      0.04      0.06       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.60      0.52      0.53    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9944447407926722
40-80%
              precision    recall  f1-score   support

           0       0.19      0.08      0.11       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.59      0.54      0.55     65403
weighted avg       1.00      1.00      1.00     65403

Accuracy: 0.9967585584759109
80-90%
              precision    recall  f1-score   support

           0       0.12      0.07      0.09        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.56      0.53      0.54      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9971567831031681
90-100%
              precision    recall  f1-score   support

           0       0.44      0.22      0.30        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.72      0.61      0.65      5704
weighted avg       1.00      1.00      1.00      5704

Accuracy: 0.9966690042075736

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.36      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.70      0.66  49785283

Accuracy: 0.6952265993948452
0-1%
              precision    recall  f1-score   support

           0       0.66      0.97      0.79  27764588
           1       0.80      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6779228409352791
1-10%
              precision    recall  f1-score   support

           0       0.08      0.15      0.11    287564
           1       0.94      0.89      0.91   4164787

    accuracy                           0.84   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.84      0.86   4452351

Accuracy: 0.8425939464341423
10-20%
              precision    recall  f1-score   support

           0       0.02      0.07      0.03      2455
           1       0.99      0.96      0.97    257616

    accuracy                           0.95    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.95      0.96    260071

Accuracy: 0.9470183142295757
20-40%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02       659
           1       1.00      0.96      0.98    130568

    accuracy                           0.95    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.95      0.97    131227

Accuracy: 0.954795888041333
40-80%
              precision    recall  f1-score   support

           0       0.01      0.14      0.02       169
           1       1.00      0.96      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.55      0.50     65403
weighted avg       1.00      0.96      0.98     65403

Accuracy: 0.9576472027277037
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.96      7386
   macro avg       0.50      0.55      0.50      7386
weighted avg       1.00      0.96      0.98      7386

Accuracy: 0.9601949634443542
90-100%
              precision    recall  f1-score   support

           0       0.02      0.22      0.03        18
           1       1.00      0.96      0.98      5686

    accuracy                           0.96      5704
   macro avg       0.51      0.59      0.51      5704
weighted avg       0.99      0.96      0.98      5704

Accuracy: 0.9588008415147266

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.49      0.64  26119367
           1       0.61      0.95      0.74  21615229

    accuracy                           0.70  47734596
   macro avg       0.77      0.72      0.69  47734596
weighted avg       0.78      0.70      0.69  47734596

Accuracy: 0.702004831045391
0-1%
              precision    recall  f1-score   support

           0       0.98      0.88      0.92  12053010
           1       0.15      0.51      0.23    508421

    accuracy                           0.86  12561431
   macro avg       0.56      0.69      0.58  12561431
weighted avg       0.94      0.86      0.90  12561431

Accuracy: 0.8612059406288981
1-10%
              precision    recall  f1-score   support

           0       0.76      0.17      0.28  13368467
           1       0.55      0.95      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.56      0.49  27835287
weighted avg       0.65      0.58      0.50  27835287

Accuracy: 0.5768442409090303
10-20%
              precision    recall  f1-score   support

           0       0.18      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.53      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8696383807389995
20-40%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.51      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.930020260511173
40-80%
              precision    recall  f1-score   support

           0       0.04      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.50      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9622577188611938
80-90%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.61      0.50      0.49    124036
weighted avg       0.96      0.98      0.96    124036

Accuracy: 0.9750475668354349
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9765581769706726

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.741057764477571
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.741057764477571
0-1%
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262549784335877
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262549784335877
1-10%
              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.75      0.71      0.72  40396718

Accuracy: 0.7133189631890393
              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6172257896963663
10-20%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  25924842
           1       0.63      0.85      0.72  18362515

    accuracy                           0.73  44287357
   macro avg       0.74      0.74      0.73  44287357
weighted avg       0.76      0.73      0.73  44287357

Accuracy: 0.7258026483720851
              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8554214359132266
20-40%

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9221748013256447
40-80%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399666162679867
              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.958236541443808
80-90%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721371214808604
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9742642990090045

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.80      0.72      0.76  26119367
           1       0.70      0.78      0.74  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7475000731125911
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.15      0.18    508421

    accuracy                           0.94  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.94      0.94  12561431

Accuracy: 0.9442128846625835
1-10%
              precision    recall  f1-score   support

           0       0.63      0.52      0.57  13368467
           1       0.62      0.72      0.67  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.62      0.62  27835287
weighted avg       0.63      0.63      0.62  27835287

Accuracy: 0.6252882537191012
10-20%
              precision    recall  f1-score   support

           0       0.16      0.07      0.10    503365
           1       0.87      0.94      0.91   3387274

    accuracy                           0.83   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.83      0.80   3890639

Accuracy: 0.8298091907267675
20-40%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.91      0.89   2117913

Accuracy: 0.9068040094187061
40-80%
              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.99      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9499708380994579
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9668725208810346
90-100%
              precision    recall  f1-score   support

           0       0.03      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.969425021379345

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.84      0.76  26119367
           1       0.74      0.54      0.62  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.70  47734596

Accuracy: 0.7036790465347188
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.06      0.09    508421

    accuracy                           0.95  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9548506854035977
1-10%
              precision    recall  f1-score   support

           0       0.56      0.73      0.63  13368467
           1       0.65      0.48      0.55  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.60      0.59  27835287

Accuracy: 0.596758208384918
10-20%
              precision    recall  f1-score   support

           0       0.15      0.36      0.21    503365
           1       0.88      0.69      0.78   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.49   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6513580416995769
20-40%
              precision    recall  f1-score   support

           0       0.08      0.33      0.13    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.6995150414582657
40-80%
              precision    recall  f1-score   support

           0       0.04      0.31      0.08     41616
           1       0.96      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7270391854561238
80-90%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7368344674126867
90-100%
              precision    recall  f1-score   support

           0       0.03      0.28      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7392122340157956

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.81      0.02      0.04  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.38  47734596
weighted avg       0.67      0.55      0.41  47734596

Accuracy: 0.5548408118924899
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.40      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595222073026553
1-10%
              precision    recall  f1-score   support

           0       0.48      0.99      0.65  13368467
           1       0.71      0.01      0.03  14466820

    accuracy                           0.48  27835287
   macro avg       0.59      0.50      0.34  27835287
weighted avg       0.60      0.48      0.33  27835287

Accuracy: 0.48464120380723935
10-20%
              precision    recall  f1-score   support

           0       0.13      0.97      0.23    503365
           1       0.88      0.04      0.07   3387274

    accuracy                           0.16   3890639
   macro avg       0.51      0.50      0.15   3890639
weighted avg       0.78      0.16      0.09   3890639

Accuracy: 0.15661463322605876
20-40%
              precision    recall  f1-score   support

           0       0.07      0.96      0.13    147488
           1       0.94      0.04      0.08   1970425

    accuracy                           0.11   2117913
   macro avg       0.50      0.50      0.11   2117913
weighted avg       0.88      0.11      0.09   2117913

Accuracy: 0.1071672915742998
40-80%
              precision    recall  f1-score   support

           0       0.04      0.96      0.07     41616
           1       0.97      0.05      0.09   1064279

    accuracy                           0.08   1105895
   macro avg       0.50      0.50      0.08   1105895
weighted avg       0.93      0.08      0.09   1105895

Accuracy: 0.08127173013712875
80-90%
              precision    recall  f1-score   support

           0       0.03      0.96      0.05      3093
           1       0.98      0.05      0.09    120943

    accuracy                           0.07    124036
   macro avg       0.50      0.50      0.07    124036
weighted avg       0.96      0.07      0.09    124036

Accuracy: 0.07212422200006449
90-100%
              precision    recall  f1-score   support

           0       0.02      0.96      0.05      2328
           1       0.98      0.05      0.09     97067

    accuracy                           0.07     99395
   macro avg       0.50      0.50      0.07     99395
weighted avg       0.96      0.07      0.09     99395

Accuracy: 0.06918859097540117

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.91      0.38      0.53  24893266
           1       0.56      0.96      0.70  20563095

    accuracy                           0.64  45456361
   macro avg       0.73      0.67      0.62  45456361
weighted avg       0.75      0.64      0.61  45456361

Accuracy: 0.6375908973443782
0-1%
              precision    recall  f1-score   support

           0       1.00      0.92      0.96   4873589
           1       0.01      0.77      0.02      3872

    accuracy                           0.92   4877461
   macro avg       0.50      0.84      0.49   4877461
weighted avg       1.00      0.92      0.96   4877461

Accuracy: 0.9202041800026695
1-10%
              precision    recall  f1-score   support

           0       0.89      0.28      0.42  16949103
           1       0.38      0.93      0.54   8016772

    accuracy                           0.49  24965875
   macro avg       0.64      0.60      0.48  24965875
weighted avg       0.73      0.49      0.46  24965875

Accuracy: 0.48612496057117965
10-20%
              precision    recall  f1-score   support

           0       0.41      0.06      0.11   2057494
           1       0.73      0.97      0.83   5461156

    accuracy                           0.72   7518650
   macro avg       0.57      0.51      0.47   7518650
weighted avg       0.64      0.72      0.63   7518650

Accuracy: 0.7182914485978201
20-40%
              precision    recall  f1-score   support

           0       0.24      0.04      0.07    744974
           1       0.85      0.97      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.54      0.51      0.49   4805513
weighted avg       0.75      0.83      0.78   4805513

Accuracy: 0.8301423802203843
40-80%
              precision    recall  f1-score   support

           0       0.13      0.03      0.05    235909
           1       0.91      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.52      0.51      0.50   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8972244569589702
80-90%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05     18577
           1       0.94      0.98      0.96    296772

    accuracy                           0.93    315349
   macro avg       0.52      0.51      0.50    315349
weighted avg       0.89      0.93      0.91    315349

Accuracy: 0.9250608056470767
90-100%
              precision    recall  f1-score   support

           0       0.07      0.03      0.04     13620
           1       0.95      0.98      0.96    240209

    accuracy                           0.93    253829
   macro avg       0.51      0.50      0.50    253829
weighted avg       0.90      0.93      0.91    253829

Accuracy: 0.9299213249865067

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798581391062078
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798581611053292
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682306019463816
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682306019463816
1-10%
              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5885483284683594
              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6506019300255172
10-20%
              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582850012309303
              precision    recall  f1-score   support

           0       0.39      0.25      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6887809646678592
20-40%
              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699703959203271
              precision    recall  f1-score   support

           0       0.23      0.23      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.760822205662538
40-80%
              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8035352636556305

80-90%
              precision    recall  f1-score   support

           0       0.09      0.22      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8196188984268223
90-100%
              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8236805093192662

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.65      0.70  24893266
           1       0.64      0.76      0.70  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.699147870635751
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.54      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9858715425915245
1-10%
              precision    recall  f1-score   support

           0       0.83      0.60      0.70  16949103
           1       0.47      0.73      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.63  24965875
weighted avg       0.71      0.65      0.66  24965875

Accuracy: 0.6461317298111923
10-20%
              precision    recall  f1-score   support

           0       0.38      0.37      0.38   2057494
           1       0.77      0.77      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6636123506214546
20-40%
              precision    recall  f1-score   support

           0       0.22      0.35      0.27    744974
           1       0.87      0.78      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.55   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7111607023017106
40-80%
              precision    recall  f1-score   support

           0       0.13      0.34      0.19    235909
           1       0.93      0.78      0.84   2483775

    accuracy                           0.74   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.74      0.79   2719684

Accuracy: 0.7381673753274277
80-90%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14     18577
           1       0.95      0.77      0.85    296772

    accuracy                           0.75    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.75      0.81    315349

Accuracy: 0.747584422338425
90-100%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13     13620
           1       0.95      0.77      0.85    240209

    accuracy                           0.75    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.75      0.82    253829

Accuracy: 0.751021356897754

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5475752887478168
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.999198558430298
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.11      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.50      0.68      0.55  24965875

Accuracy: 0.6788336879840983
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.18      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.23      0.50      0.21   7518650
weighted avg       0.21      0.27      0.12   7518650

Accuracy: 0.2735976538341325
20-40%
              precision    recall  f1-score   support

           0       0.15      1.00      0.27    744974
           1       0.14      0.00      0.00   4060539

    accuracy                           0.15   4805513
   macro avg       0.15      0.50      0.13   4805513
weighted avg       0.14      0.15      0.04   4805513

Accuracy: 0.1549582739657556
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.06      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.07      0.50      0.08   2719684
weighted avg       0.06      0.09      0.01   2719684

Accuracy: 0.08665161099598336
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.03      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.05      0.50      0.06    315349
weighted avg       0.04      0.06      0.01    315349

Accuracy: 0.05882371594645932
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.07      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.06      0.50      0.05    253829
weighted avg       0.07      0.05      0.01    253829

Accuracy: 0.053567559262338034

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476166910941244
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992051192208405
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.10      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.49      0.68      0.55  24965875

Accuracy: 0.6788771873607474
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.20      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.24      0.50      0.21   7518650
weighted avg       0.22      0.27      0.12   7518650

Accuracy: 0.27363861863499434
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.11      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.13      0.50      0.13   4805513
weighted avg       0.12      0.16      0.04   4805513

Accuracy: 0.15500634375559905
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.05      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.07      0.50      0.08   2719684
weighted avg       0.05      0.09      0.01   2719684

Accuracy: 0.08672110436359519
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05888713774262801
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.11      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.08      0.50      0.05    253829
weighted avg       0.11      0.05      0.01    253829

Accuracy: 0.05363059382497666

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.04      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.29      0.50      0.35  45456361
weighted avg       0.32      0.55      0.39  45456361

Accuracy: 0.5476294725836061
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890365348701
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.14      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.21      0.50      0.21   7518650
weighted avg       0.18      0.27      0.12   7518650

Accuracy: 0.2736513868846136
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502423986783512
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674022423193282
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058906164281478615
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.36      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6007910242454396
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9673096563288105
1-10%
              precision    recall  f1-score   support

           0       0.97      0.42      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.4709554804370579
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.45   8856813

Accuracy: 0.5127644673089519
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6608404915691717
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.54   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7649642467194727
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.20    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8088517537237953
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8173473981153592

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.695003303471612
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.695003303471612
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7581716092818439
              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7287705716607181
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7012536731137675
              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096048318960782
20-40%
              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6908608222009534
              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628544065478522
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.79      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6937060111399272
              precision    recall  f1-score   support

           0       0.33      0.40      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7080285073352788
80-90%
              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7266457966380999
90-100%
              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7304678590720846

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7205002822607349
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.74      0.66  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8353920203763995
10-20%
              precision    recall  f1-score   support

           0       0.71      0.66      0.69   5044441
           1       0.59      0.65      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6560426419751665
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.640351060222434
40-80%
              precision    recall  f1-score   support

           0       0.30      0.58      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6391579616064161
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6372303054523566
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.76    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6373176880139247

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.40      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6929483054703149
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9030749003868721
10-20%
              precision    recall  f1-score   support

           0       0.65      0.87      0.75   5044441
           1       0.69      0.39      0.50   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.62   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6643434833726307
20-40%
              precision    recall  f1-score   support

           0       0.42      0.81      0.56   2995598
           1       0.80      0.41      0.54   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5502790421005797
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.48   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.48      0.52   6296625

Accuracy: 0.4839400472475334
80-90%
              precision    recall  f1-score   support

           0       0.18      0.77      0.29    117971
           1       0.91      0.40      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.58      0.42    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4559003468470469
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.40      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4508012724326271

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.84      0.23      0.35  28055468
           1       0.49      0.94      0.64  21729815

    accuracy                           0.54  49785283
   macro avg       0.66      0.58      0.50  49785283
weighted avg       0.68      0.54      0.48  49785283

Accuracy: 0.5389093198485986
0-1%
              precision    recall  f1-score   support

           0       0.87      0.23      0.36  27764588
           1       0.43      0.94      0.59  17098553

    accuracy                           0.50  44863141
   macro avg       0.65      0.59      0.47  44863141
weighted avg       0.70      0.50      0.45  44863141

Accuracy: 0.49991528680526404
1-10%
              precision    recall  f1-score   support

           0       0.08      0.07      0.07    287564
           1       0.94      0.95      0.94   4164787

    accuracy                           0.89   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.89      0.89   4452351

Accuracy: 0.8895844015891828
10-20%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9368210988537745
20-40%
              precision    recall  f1-score   support

           0       0.01      0.10      0.02       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9418945796215717
40-80%
              precision    recall  f1-score   support

           0       0.01      0.16      0.01       169
           1       1.00      0.94      0.97     65234

    accuracy                           0.94     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.94      0.97     65403

Accuracy: 0.9425561518584774
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.94      7386
   macro avg       0.50      0.54      0.49      7386
weighted avg       1.00      0.94      0.97      7386

Accuracy: 0.9440834010289737
90-100%
              precision    recall  f1-score   support

           0       0.02      0.28      0.03        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.51      0.61      0.50      5704
weighted avg       0.99      0.94      0.97      5704

Accuracy: 0.9431977559607293

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055468
           1       0.55      0.78      0.65  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.62  49785283

Accuracy: 0.6269150061876719
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055468
           1       0.55      0.78      0.65  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.62  49785283

Accuracy: 0.6269150061876719
0-1%

              precision    recall  f1-score   support

           0       0.79      0.51      0.62  27764588
           1       0.50      0.78      0.60  17098553

    accuracy                           0.61  44863141
   macro avg       0.64      0.64      0.61  44863141
weighted avg       0.68      0.61      0.61  44863141

Accuracy: 0.6129199023314038
1-10%
              precision    recall  f1-score   support

           0       0.07      0.23      0.11    287564
           1       0.94      0.79      0.86   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.81   4452351

Accuracy: 0.7517740627367429
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28052152
           1       0.55      0.78      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.62  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6254560737222291
10-20%
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28054607
           1       0.55      0.78      0.64  21520956

    accuracy                           0.63  49575563
   macro avg       0.65      0.64      0.63  49575563
weighted avg       0.66      0.63      0.62  49575563

Accuracy: 0.6262555202852663
              precision    recall  f1-score   support

           0       0.01      0.24      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.78    260071
   macro avg       0.50      0.51      0.45    260071
weighted avg       0.98      0.78      0.87    260071

Accuracy: 0.7778491258156427
20-40%
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055266
           1       0.55      0.78      0.65  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.62  49706790

Accuracy: 0.6266689319507456
              precision    recall  f1-score   support

           0       0.01      0.28      0.01       659
           1       1.00      0.79      0.88    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.53      0.45    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7828495660191881
40-80%

              precision    recall  f1-score   support

           0       0.00      0.27      0.01       169
           1       1.00      0.78      0.88     65234

    accuracy                           0.78     65403
   macro avg       0.50      0.52      0.44     65403
weighted avg       1.00      0.78      0.88     65403

Accuracy: 0.7822576946011651
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01        15
           1       1.00      0.78      0.88      7371

    accuracy                           0.78      7386
   macro avg       0.50      0.56      0.44      7386
weighted avg       1.00      0.78      0.87      7386

Accuracy: 0.7787706471703222
90-100%
              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.56      0.45      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7934782608695652

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.66      0.77      0.71  28055468
           1       0.62      0.48      0.54  21729815

    accuracy                           0.64  49785283
   macro avg       0.64      0.62      0.62  49785283
weighted avg       0.64      0.64      0.63  49785283

Accuracy: 0.6420526323009954
0-1%
              precision    recall  f1-score   support

           0       0.70      0.77      0.74  27764588
           1       0.56      0.47      0.51  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.62      0.62  44863141
weighted avg       0.65      0.66      0.65  44863141

Accuracy: 0.6572652369569932
1-10%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12    287564
           1       0.94      0.50      0.65   4164787

    accuracy                           0.50   4452351
   macro avg       0.50      0.51      0.39   4452351
weighted avg       0.88      0.50      0.62   4452351

Accuracy: 0.5033585627009192
10-20%
              precision    recall  f1-score   support

           0       0.01      0.50      0.02      2455
           1       0.99      0.50      0.67    257616

    accuracy                           0.50    260071
   macro avg       0.50      0.50      0.34    260071
weighted avg       0.98      0.50      0.66    260071

Accuracy: 0.5031856685289786
20-40%
              precision    recall  f1-score   support

           0       0.01      0.55      0.01       659
           1       1.00      0.50      0.67    130568

    accuracy                           0.50    131227
   macro avg       0.50      0.52      0.34    131227
weighted avg       0.99      0.50      0.67    131227

Accuracy: 0.5033796398606994
40-80%
              precision    recall  f1-score   support

           0       0.00      0.53      0.01       169
           1       1.00      0.51      0.67     65234

    accuracy                           0.51     65403
   macro avg       0.50      0.52      0.34     65403
weighted avg       1.00      0.51      0.67     65403

Accuracy: 0.5063682094093543
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.50      0.67      7371

    accuracy                           0.50      7386
   macro avg       0.50      0.42      0.33      7386
weighted avg       1.00      0.50      0.66      7386

Accuracy: 0.499729217438397
90-100%
              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.51      0.68      5686

    accuracy                           0.51      5704
   macro avg       0.50      0.53      0.34      5704
weighted avg       0.99      0.51      0.68      5704

Accuracy: 0.5136746143057503

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.28      0.42  26119367
           1       0.52      0.93      0.66  21615229

    accuracy                           0.57  47734596
   macro avg       0.67      0.60      0.54  47734596
weighted avg       0.69      0.57      0.53  47734596

Accuracy: 0.5734690830943662
0-1%
              precision    recall  f1-score   support

           0       0.99      0.44      0.61  12053010
           1       0.06      0.91      0.12    508421

    accuracy                           0.46  12561431
   macro avg       0.53      0.68      0.37  12561431
weighted avg       0.95      0.46      0.59  12561431

Accuracy: 0.4628935190584576
1-10%
              precision    recall  f1-score   support

           0       0.65      0.14      0.23  13368467
           1       0.54      0.93      0.68  14466820

    accuracy                           0.55  27835287
   macro avg       0.59      0.53      0.46  27835287
weighted avg       0.59      0.55      0.46  27835287

Accuracy: 0.5500978667832669
10-20%
              precision    recall  f1-score   support

           0       0.18      0.10      0.13    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8238428186218254
20-40%
              precision    recall  f1-score   support

           0       0.10      0.11      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.87      0.87   2117913

Accuracy: 0.8721297805906097
40-80%
              precision    recall  f1-score   support

           0       0.06      0.11      0.08     41616
           1       0.96      0.93      0.95   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.91   1105895

Accuracy: 0.8973220784975066
80-90%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      3093
           1       0.98      0.93      0.95    120943

    accuracy                           0.91    124036
   macro avg       0.51      0.53      0.51    124036
weighted avg       0.95      0.91      0.93    124036

Accuracy: 0.9071398626205295
90-100%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      2328
           1       0.98      0.93      0.95     97067

    accuracy                           0.91     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.91      0.93     99395

Accuracy: 0.9089592031792344

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6589189316696008
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6589189316696008
0-1%
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.776987749246085
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.776987749246085
1-10%
              precision    recall  f1-score   support

           0       0.80      0.58      0.68  25421477
           1       0.52      0.76      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6481008679962565
              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5899371542316054
10-20%
              precision    recall  f1-score   support

           0       0.77      0.58      0.66  25924842
           1       0.56      0.76      0.64  18362515

    accuracy                           0.65  44287357
   macro avg       0.67      0.67      0.65  44287357
weighted avg       0.68      0.65      0.65  44287357

Accuracy: 0.6531529077248841
              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.71   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.71      0.74   3890639

Accuracy: 0.7056085131516956
20-40%
              precision    recall  f1-score   support

           0       0.75      0.58      0.65  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.6565860946396821
              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7283769446620328
40-80%
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.59      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6585215706666001
              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.76      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.47   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7397374976828722
80-90%
              precision    recall  f1-score   support

           0       0.03      0.32      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.51      0.54      0.46    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7428327259827792
90-100%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7441420594597313

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.67      0.76      0.71  26119367
           1       0.65      0.56      0.60  21615229

    accuracy                           0.67  47734596
   macro avg       0.66      0.66      0.66  47734596
weighted avg       0.66      0.67      0.66  47734596

Accuracy: 0.6657563834833754
0-1%
              precision    recall  f1-score   support

           0       0.98      0.91      0.94  12053010
           1       0.20      0.49      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.70      0.61  12561431
weighted avg       0.95      0.90      0.92  12561431

Accuracy: 0.8974491839345374
1-10%
              precision    recall  f1-score   support

           0       0.57      0.63      0.59  13368467
           1       0.62      0.55      0.58  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.59  27835287
weighted avg       0.59      0.59      0.59  27835287

Accuracy: 0.5894146879103492
10-20%
              precision    recall  f1-score   support

           0       0.14      0.49      0.22    503365
           1       0.88      0.57      0.69   3387274

    accuracy                           0.56   3890639
   macro avg       0.51      0.53      0.46   3890639
weighted avg       0.79      0.56      0.63   3890639

Accuracy: 0.5584344885248927
20-40%
              precision    recall  f1-score   support

           0       0.08      0.49      0.13    147488
           1       0.94      0.56      0.70   1970425

    accuracy                           0.56   2117913
   macro avg       0.51      0.53      0.42   2117913
weighted avg       0.88      0.56      0.66   2117913

Accuracy: 0.5591060633746523
40-80%
              precision    recall  f1-score   support

           0       0.04      0.49      0.08     41616
           1       0.97      0.56      0.71   1064279

    accuracy                           0.56   1105895
   macro avg       0.50      0.53      0.39   1105895
weighted avg       0.93      0.56      0.69   1105895

Accuracy: 0.5591344567070111
80-90%
              precision    recall  f1-score   support

           0       0.03      0.50      0.05      3093
           1       0.98      0.56      0.71    120943

    accuracy                           0.56    124036
   macro avg       0.50      0.53      0.38    124036
weighted avg       0.95      0.56      0.70    124036

Accuracy: 0.5583056531974588
90-100%
              precision    recall  f1-score   support

           0       0.03      0.48      0.05      2328
           1       0.98      0.56      0.71     97067

    accuracy                           0.56     99395
   macro avg       0.50      0.52      0.38     99395
weighted avg       0.96      0.56      0.70     99395

Accuracy: 0.5577745359424519

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.26  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.59157576194842
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.13      0.20    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9571753409305038
1-10%
              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.15      0.25  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.44  27835287

Accuracy: 0.5207842117812544
10-20%
              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.28   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.25682979068476924
20-40%
              precision    recall  f1-score   support

           0       0.07      0.85      0.13    147488
           1       0.94      0.17      0.29   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.28   2117913

Accuracy: 0.21765294419553588
40-80%
              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.17      0.29   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.18   1105895
weighted avg       0.93      0.20      0.28   1105895

Accuracy: 0.19608281075508976
80-90%
              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.17      0.29    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.17    124036
weighted avg       0.95      0.19      0.29    124036

Accuracy: 0.18934825373278724
90-100%
              precision    recall  f1-score   support

           0       0.02      0.85      0.05      2328
           1       0.98      0.17      0.29     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.28     99395

Accuracy: 0.18537149756023946

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.31      0.45  24893266
           1       0.53      0.92      0.67  20563095

    accuracy                           0.59  45456361
   macro avg       0.68      0.62      0.56  45456361
weighted avg       0.69      0.59      0.55  45456361

Accuracy: 0.588235582694356
0-1%
              precision    recall  f1-score   support

           0       1.00      0.72      0.83   4873589
           1       0.00      0.91      0.01      3872

    accuracy                           0.72   4877461
   macro avg       0.50      0.81      0.42   4877461
weighted avg       1.00      0.72      0.83   4877461

Accuracy: 0.7155848093916076
1-10%
              precision    recall  f1-score   support

           0       0.86      0.23      0.36  16949103
           1       0.36      0.92      0.52   8016772

    accuracy                           0.45  24965875
   macro avg       0.61      0.57      0.44  24965875
weighted avg       0.70      0.45      0.41  24965875

Accuracy: 0.4500897324848418
10-20%
              precision    recall  f1-score   support

           0       0.40      0.13      0.20   2057494
           1       0.74      0.93      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7093216202376756
20-40%
              precision    recall  f1-score   support

           0       0.24      0.13      0.17    744974
           1       0.85      0.93      0.89   4060539

    accuracy                           0.80   4805513
   macro avg       0.55      0.53      0.53   4805513
weighted avg       0.76      0.80      0.78   4805513

Accuracy: 0.8020350792933033
40-80%
              precision    recall  f1-score   support

           0       0.14      0.13      0.14    235909
           1       0.92      0.92      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8549563111008485
80-90%
              precision    recall  f1-score   support

           0       0.10      0.14      0.11     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.88    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.89      0.88      0.88    315349

Accuracy: 0.8754871586718207
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.94    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.879733994145665

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755377756701642
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755377756701642
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9478956366847423
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9478956366847423
1-10%
              precision    recall  f1-score   support

           0       0.83      0.54      0.65  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6123784165385752
              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.6672138463340693
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666169726630699
              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6642478370452143
20-40%
              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6711966483950115
              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7068027908778938
40-80%
              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.729682566062822
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747402705133
80-90%
              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.737205445395419
90-100%
              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.7399548514945101

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.76      0.73  24893266
           1       0.67      0.60      0.63  20563095

    accuracy                           0.69  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.68      0.69      0.68  45456361

Accuracy: 0.6853518476765001
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9888999625009816
1-10%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  16949103
           1       0.51      0.58      0.55   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.66      0.65  24965875
weighted avg       0.70      0.69      0.69  24965875

Accuracy: 0.6866411051084731
10-20%
              precision    recall  f1-score   support

           0       0.34      0.54      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.587527149155766
20-40%
              precision    recall  f1-score   support

           0       0.19      0.51      0.28    744974
           1       0.87      0.60      0.71   4060539

    accuracy                           0.59   4805513
   macro avg       0.53      0.56      0.50   4805513
weighted avg       0.77      0.59      0.65   4805513

Accuracy: 0.5895420530544814
40-80%
              precision    recall  f1-score   support

           0       0.11      0.51      0.18    235909
           1       0.93      0.60      0.73   2483775

    accuracy                           0.59   2719684
   macro avg       0.52      0.55      0.45   2719684
weighted avg       0.86      0.59      0.68   2719684

Accuracy: 0.589262576093399
80-90%
              precision    recall  f1-score   support

           0       0.07      0.51      0.13     18577
           1       0.95      0.59      0.73    296772

    accuracy                           0.59    315349
   macro avg       0.51      0.55      0.43    315349
weighted avg       0.90      0.59      0.69    315349

Accuracy: 0.5877012452869678
90-100%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12     13620
           1       0.96      0.59      0.73    240209

    accuracy                           0.59    253829
   macro avg       0.51      0.55      0.42    253829
weighted avg       0.91      0.59      0.70    253829

Accuracy: 0.5881203487387178

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.38  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6235824288706261
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.25      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.60      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988678535820174
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.24      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7086113344715537
10-20%
              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.26      0.39   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.40   7518650

Accuracy: 0.4131598092742713
20-40%
              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.26      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.34675049261129876
40-80%
              precision    recall  f1-score   support

           0       0.09      0.79      0.17    235909
           1       0.93      0.26      0.41   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.39   2719684

Accuracy: 0.31007793552486246
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.26      0.41    296772

    accuracy                           0.29    315349
   macro avg       0.51      0.53      0.26    315349
weighted avg       0.90      0.29      0.39    315349

Accuracy: 0.2940519868463195
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.26      0.41    240209

    accuracy                           0.29    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.29      0.40    253829

Accuracy: 0.29147969696134013

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.37      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6018024859922315
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9667077204565938
1-10%
              precision    recall  f1-score   support

           0       0.97      0.43      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.47376198708915684
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.46   8856813

Accuracy: 0.5138466850321893
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6609011060154826
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7643829829472137
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.21    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8080019044517793
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8164861052757938

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.69614118843601
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.69614118843601
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993296769868883
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993296769868883
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7609895397819605
              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7319263772289833
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7036091549143464
              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.6112156822098423
20-40%
              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6925724775822014
              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628310932992711
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.78      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.694948831410992
              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7069112421336827
80-90%
              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7250978128407415
90-100%
              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7288908228797791

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.78      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7204513851044263
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.73      0.67  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8360128126618654
10-20%
              precision    recall  f1-score   support

           0       0.71      0.67      0.69   5044441
           1       0.59      0.64      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6561427908661953
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6398600832073155
40-80%
              precision    recall  f1-score   support

           0       0.30      0.59      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6383510213805015
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6362965813610416
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.75    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6363303523197887

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.41      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6937823693474318
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9026463011762248
10-20%
              precision    recall  f1-score   support

           0       0.66      0.87      0.75   5044441
           1       0.69      0.40      0.51   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.63   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6646303811540336
20-40%
              precision    recall  f1-score   support

           0       0.43      0.81      0.56   2995598
           1       0.80      0.41      0.55   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5518986134795105
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.49   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.49      0.52   6296625

Accuracy: 0.4866735751295337
80-90%
              precision    recall  f1-score   support

           0       0.18      0.76      0.29    117971
           1       0.91      0.41      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.59      0.43    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4590259173191634
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.41      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.45408438869215534

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.96      0.29      0.45  28055468
           1       0.52      0.98      0.68  21729815

    accuracy                           0.59  49785283
   macro avg       0.74      0.64      0.56  49785283
weighted avg       0.77      0.59      0.55  49785283

Accuracy: 0.5934621683279374
0-1%
              precision    recall  f1-score   support

           0       0.96      0.29      0.45  27764588
           1       0.46      0.98      0.63  17098553

    accuracy                           0.56  44863141
   macro avg       0.71      0.64      0.54  44863141
weighted avg       0.77      0.56      0.52  44863141

Accuracy: 0.5553687602925529
1-10%
              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9351508899455591
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055468
           1       0.55      0.80      0.65  21729815

    accuracy                           0.62  49785283
   macro avg       0.65      0.64      0.62  49785283
weighted avg       0.67      0.62      0.62  49785283

Accuracy: 0.6244382903276858
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055468
           1       0.55      0.80      0.65  21729815

    accuracy                           0.62  49785283
   macro avg       0.65      0.64      0.62  49785283
weighted avg       0.67      0.62      0.62  49785283

Accuracy: 0.6244382903276858
0-1%
              precision    recall  f1-score   support

           0       0.78      0.49      0.60  27764588
           1       0.48      0.77      0.59  17098553

    accuracy                           0.60  44863141
   macro avg       0.63      0.63      0.60  44863141
weighted avg       0.67      0.60      0.60  44863141

Accuracy: 0.5972438933778622
              precision    recall  f1-score   support

           0       0.78      0.49      0.60  27764588
           1       0.48      0.77      0.59  17098553

    accuracy                           0.60  44863141
   macro avg       0.63      0.63      0.60  44863141
weighted avg       0.67      0.60      0.60  44863141

Accuracy: 0.5972438933778622
1-10%
              precision    recall  f1-score   support

           0       0.09      0.12      0.10    287564
           1       0.94      0.91      0.92   4164787

    accuracy                           0.86   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.86      0.87   4452351

Accuracy: 0.8597300617134633
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28052152
           1       0.54      0.80      0.65  21263340

    accuracy                           0.62  49315492
   macro avg       0.65      0.64      0.62  49315492
weighted avg       0.67      0.62      0.62  49315492

Accuracy: 0.6209419344330986
10-20%
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28054607
           1       0.54      0.80      0.65  21520956

    accuracy                           0.62  49575563
   macro avg       0.65      0.64      0.62  49575563
weighted avg       0.67      0.62      0.62  49575563

Accuracy: 0.6228689122501746
              precision    recall  f1-score   support

           0       0.01      0.00      0.00      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.9882685881932242
20-40%
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055266
           1       0.55      0.80      0.65  21651524

    accuracy                           0.62  49706790
   macro avg       0.65      0.64      0.62  49706790
weighted avg       0.67      0.62      0.62  49706790

Accuracy: 0.623849578699409
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9943304350476655
40-80%
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055435
           1       0.55      0.80      0.65  21716758

    accuracy                           0.62  49772193
   macro avg       0.65      0.64      0.62  49772193
weighted avg       0.67      0.62      0.62  49772193

Accuracy: 0.6243402013650473
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9972172530312066
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9978337395071757
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.64      0.65      0.64  28055468
           1       0.53      0.52      0.53  21729815

    accuracy                           0.59  49785283
   macro avg       0.59      0.58      0.58  49785283
weighted avg       0.59      0.59      0.59  49785283

Accuracy: 0.5927141360228886
0-1%
              precision    recall  f1-score   support

           0       0.69      0.65      0.67  27764588
           1       0.48      0.52      0.50  17098553

    accuracy                           0.60  44863141
   macro avg       0.58      0.59      0.58  44863141
weighted avg       0.61      0.60      0.60  44863141

Accuracy: 0.6006951006841006
1-10%
              precision    recall  f1-score   support

           0       0.07      0.61      0.13    287564
           1       0.95      0.47      0.63   4164787

    accuracy                           0.48   4452351
   macro avg       0.51      0.54      0.38   4452351
weighted avg       0.89      0.48      0.60   4452351

Accuracy: 0.47973553747222536
10-20%
              precision    recall  f1-score   support

           0       0.01      0.13      0.02      2455
           1       0.99      0.87      0.93    257616

    accuracy                           0.87    260071
   macro avg       0.50      0.50      0.47    260071
weighted avg       0.98      0.87      0.92    260071

Accuracy: 0.8674131294915619
20-40%
              precision    recall  f1-score   support

           0       0.01      0.09      0.01       659
           1       1.00      0.93      0.96    130568

    accuracy                           0.93    131227
   macro avg       0.50      0.51      0.49    131227
weighted avg       0.99      0.93      0.96    131227

Accuracy: 0.9298619948638619
40-80%
              precision    recall  f1-score   support

           0       0.00      0.02      0.00       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.49      0.49     65403
weighted avg       0.99      0.96      0.98     65403

Accuracy: 0.9635184930354876
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      0.98      0.99      7371

    accuracy                           0.98      7386
   macro avg       0.50      0.49      0.49      7386
weighted avg       1.00      0.98      0.99      7386

Accuracy: 0.979555916598971
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      0.98      0.99      5686

    accuracy                           0.97      5704
   macro avg       0.50      0.49      0.49      5704
weighted avg       0.99      0.97      0.98      5704

Accuracy: 0.9742286115007013

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055468
           1       0.54      0.21      0.30  21729815

    accuracy                           0.58  49785283
   macro avg       0.56      0.53      0.50  49785283
weighted avg       0.56      0.58      0.52  49785283

Accuracy: 0.5765067158501439
0-1%
              precision    recall  f1-score   support

           0       0.65      0.86      0.74  27764588
           1       0.53      0.25      0.34  17098553

    accuracy                           0.63  44863141
   macro avg       0.59      0.55      0.54  44863141
weighted avg       0.60      0.63      0.59  44863141

Accuracy: 0.628007232039326
1-10%
              precision    recall  f1-score   support

           0       0.06      0.94      0.12    287564
           1       0.93      0.06      0.11   4164787

    accuracy                           0.12   4452351
   macro avg       0.50      0.50      0.12   4452351
weighted avg       0.88      0.12      0.11   4452351

Accuracy: 0.11696472268246597
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.99      0.01      0.02    257616

    accuracy                           0.02    260071
   macro avg       0.50      0.50      0.02    260071
weighted avg       0.99      0.02      0.02    260071

Accuracy: 0.01841804737936948
20-40%
              precision    recall  f1-score   support

           0       0.01      0.99      0.01       659
           1       0.99      0.00      0.01    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       0.99      0.01      0.01    131227

Accuracy: 0.009510237984561104
40-80%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.99      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       0.99      0.00      0.00     65403

Accuracy: 0.004693974282525266
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.50      0.50      0.00      7386
weighted avg       1.00      0.00      0.00      7386

Accuracy: 0.003926347143243975
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.00      0.00      5686

    accuracy                           0.01      5704
   macro avg       0.50      0.50      0.01      5704
weighted avg       1.00      0.01      0.00      5704

Accuracy: 0.005434782608695652

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.42      0.57  26119367
           1       0.58      0.96      0.72  21615229

    accuracy                           0.66  47734596
   macro avg       0.75      0.69      0.65  47734596
weighted avg       0.77      0.66      0.64  47734596

Accuracy: 0.6623225427528495
0-1%
              precision    recall  f1-score   support

           0       0.99      0.74      0.85  12053010
           1       0.11      0.76      0.19    508421

    accuracy                           0.74  12561431
   macro avg       0.55      0.75      0.52  12561431
weighted avg       0.95      0.74      0.82  12561431

Accuracy: 0.7413108426898177
1-10%
              precision    recall  f1-score   support

           0       0.73      0.15      0.24  13368467
           1       0.55      0.95      0.69  14466820

    accuracy                           0.56  27835287
   macro avg       0.64      0.55      0.47  27835287
weighted avg       0.64      0.56      0.48  27835287

Accuracy: 0.5639647617069657
10-20%
              precision    recall  f1-score   support

           0       0.18      0.01      0.03    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.53      0.50      0.48   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8644286966742482
20-40%
              precision    recall  f1-score   support

           0       0.10      0.01      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.52      0.50      0.49   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9266981221608253
40-80%
              precision    recall  f1-score   support

           0       0.05      0.00      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9603958784513901
80-90%
              precision    recall  f1-score   support

           0       0.04      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9735318778419169
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.50      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9754716031993561

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.60      0.69  26119367
           1       0.63      0.82      0.71  21615229

    accuracy                           0.70  47734596
   macro avg       0.72      0.71      0.70  47734596
weighted avg       0.73      0.70      0.70  47734596

Accuracy: 0.7023233002747106
              precision    recall  f1-score   support

           0       0.80      0.60      0.69  26119367
           1       0.63      0.82      0.71  21615229

    accuracy                           0.70  47734596
   macro avg       0.72      0.71      0.70  47734596
weighted avg       0.73      0.70      0.70  47734596

Accuracy: 0.7023233002747106
0-1%
              precision    recall  f1-score   support

           0       0.98      0.87      0.92  12053010
           1       0.16      0.58      0.25    508421

    accuracy                           0.86  12561431
   macro avg       0.57      0.73      0.59  12561431
weighted avg       0.95      0.86      0.90  12561431

Accuracy: 0.8596725166105676
              precision    recall  f1-score   support

           0       0.98      0.87      0.92  12053010
           1       0.16      0.58      0.25    508421

    accuracy                           0.86  12561431
   macro avg       0.57      0.73      0.59  12561431
weighted avg       0.95      0.86      0.90  12561431

Accuracy: 0.8596725166105676
1-10%
              precision    recall  f1-score   support

           0       0.84      0.61      0.71  25421477
           1       0.55      0.80      0.65  14975241

    accuracy                           0.68  40396718
   macro avg       0.69      0.71      0.68  40396718
weighted avg       0.73      0.68      0.69  40396718

Accuracy: 0.6821889837684338
              precision    recall  f1-score   support

           0       0.64      0.38      0.48  13368467
           1       0.59      0.81      0.68  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.59      0.58  27835287
weighted avg       0.61      0.60      0.58  27835287

Accuracy: 0.6020947080588751
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  25924842
           1       0.59      0.81      0.69  18362515

    accuracy                           0.69  44287357
   macro avg       0.71      0.71      0.69  44287357
weighted avg       0.73      0.69      0.69  44287357

Accuracy: 0.6911962481752976
              precision    recall  f1-score   support

           0       0.17      0.18      0.18    503365
           1       0.88      0.87      0.88   3387274

    accuracy                           0.78   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.78      0.79   3890639

Accuracy: 0.7847191682394589
20-40%
              precision    recall  f1-score   support

           0       0.81      0.60      0.69  26072330
           1       0.62      0.82      0.70  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.71      0.70  46405270
weighted avg       0.73      0.70      0.70  46405270

Accuracy: 0.6977214656869791
              precision    recall  f1-score   support

           0       0.10      0.17      0.12    147488
           1       0.93      0.88      0.91   1970425

    accuracy                           0.83   2117913
   macro avg       0.52      0.53      0.52   2117913
weighted avg       0.88      0.83      0.85   2117913

Accuracy: 0.8341692977945742
40-80%
              precision    recall  f1-score   support

           0       0.81      0.60      0.69  26113946
           1       0.63      0.82      0.71  21397219

    accuracy                           0.70  47511165
   macro avg       0.72      0.71      0.70  47511165
weighted avg       0.73      0.70      0.70  47511165

Accuracy: 0.7015260939191872
              precision    recall  f1-score   support

           0       0.05      0.17      0.08     41616
           1       0.96      0.89      0.92   1064279

    accuracy                           0.86   1105895
   macro avg       0.51      0.53      0.50   1105895
weighted avg       0.93      0.86      0.89   1105895

Accuracy: 0.8611748854999797
80-90%
              precision    recall  f1-score   support

           0       0.04      0.17      0.06      3093
           1       0.98      0.89      0.93    120943

    accuracy                           0.87    124036
   macro avg       0.51      0.53      0.50    124036
weighted avg       0.95      0.87      0.91    124036

Accuracy: 0.8705698345641588
90-100%
              precision    recall  f1-score   support

           0       0.04      0.17      0.06      2328
           1       0.98      0.89      0.93     97067

    accuracy                           0.87     99395
   macro avg       0.51      0.53      0.50     99395
weighted avg       0.96      0.87      0.91     99395

Accuracy: 0.8734342773781377

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.73      0.71      0.72  26119367
           1       0.66      0.68      0.67  21615229

    accuracy                           0.70  47734596
   macro avg       0.69      0.70      0.69  47734596
weighted avg       0.70      0.70      0.70  47734596

Accuracy: 0.6970736905367335
0-1%
              precision    recall  f1-score   support

           0       0.98      0.92      0.95  12053010
           1       0.20      0.46      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.90      0.92  12561431

Accuracy: 0.904882811520439
1-10%
              precision    recall  f1-score   support

           0       0.60      0.55      0.57  13368467
           1       0.61      0.66      0.64  14466820

    accuracy                           0.61  27835287
   macro avg       0.60      0.60      0.60  27835287
weighted avg       0.60      0.61      0.60  27835287

Accuracy: 0.6054185825351828
10-20%
              precision    recall  f1-score   support

           0       0.16      0.35      0.22    503365
           1       0.88      0.72      0.79   3387274

    accuracy                           0.67   3890639
   macro avg       0.52      0.54      0.51   3890639
weighted avg       0.79      0.67      0.72   3890639

Accuracy: 0.6739247717405804
20-40%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.7002516156234935
40-80%
              precision    recall  f1-score   support

           0       0.05      0.34      0.08     41616
           1       0.97      0.73      0.83   1064279

    accuracy                           0.71   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.71      0.80   1105895

Accuracy: 0.714353532659068
80-90%
              precision    recall  f1-score   support

           0       0.03      0.35      0.06      3093
           1       0.98      0.73      0.83    120943

    accuracy                           0.72    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.72      0.82    124036

Accuracy: 0.7191379921958141
90-100%
              precision    recall  f1-score   support

           0       0.03      0.33      0.05      2328
           1       0.98      0.73      0.84     97067

    accuracy                           0.72     99395
   macro avg       0.50      0.53      0.44     99395
weighted avg       0.96      0.72      0.82     99395

Accuracy: 0.7207505407716686

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.64      0.85      0.73  26119367
           1       0.70      0.42      0.53  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.64      0.63  47734596
weighted avg       0.67      0.66      0.64  47734596

Accuracy: 0.6553020371220907
0-1%
              precision    recall  f1-score   support

           0       0.97      0.97      0.97  12053010
           1       0.28      0.29      0.29    508421

    accuracy                           0.94  12561431
   macro avg       0.63      0.63      0.63  12561431
weighted avg       0.94      0.94      0.94  12561431

Accuracy: 0.941196906626323
1-10%
              precision    recall  f1-score   support

           0       0.54      0.75      0.63  13368467
           1       0.64      0.42      0.51  14466820

    accuracy                           0.58  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.60      0.58      0.57  27835287

Accuracy: 0.5781541250140514
10-20%
              precision    recall  f1-score   support

           0       0.14      0.61      0.23    503365
           1       0.88      0.45      0.59   3387274

    accuracy                           0.47   3890639
   macro avg       0.51      0.53      0.41   3890639
weighted avg       0.79      0.47      0.55   3890639

Accuracy: 0.46630771963165946
20-40%
              precision    recall  f1-score   support

           0       0.07      0.60      0.13    147488
           1       0.94      0.44      0.60   1970425

    accuracy                           0.45   2117913
   macro avg       0.51      0.52      0.37   2117913
weighted avg       0.88      0.45      0.57   2117913

Accuracy: 0.4530648803798834
40-80%
              precision    recall  f1-score   support

           0       0.04      0.61      0.08     41616
           1       0.97      0.44      0.60   1064279

    accuracy                           0.45   1105895
   macro avg       0.50      0.52      0.34   1105895
weighted avg       0.93      0.45      0.58   1105895

Accuracy: 0.4451986852278019
80-90%
              precision    recall  f1-score   support

           0       0.03      0.62      0.05      3093
           1       0.98      0.44      0.61    120943

    accuracy                           0.44    124036
   macro avg       0.50      0.53      0.33    124036
weighted avg       0.95      0.44      0.59    124036

Accuracy: 0.44258118610725916
90-100%
              precision    recall  f1-score   support

           0       0.02      0.60      0.05      2328
           1       0.98      0.44      0.60     97067

    accuracy                           0.44     99395
   macro avg       0.50      0.52      0.33     99395
weighted avg       0.96      0.44      0.59     99395

Accuracy: 0.4395190904975099

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.88      0.38      0.53  24893266
           1       0.56      0.94      0.70  20563095

    accuracy                           0.63  45456361
   macro avg       0.72      0.66      0.61  45456361
weighted avg       0.73      0.63      0.61  45456361

Accuracy: 0.6317128641247811
0-1%
              precision    recall  f1-score   support

           0       1.00      0.90      0.95   4873589
           1       0.01      0.79      0.01      3872

    accuracy                           0.90   4877461
   macro avg       0.50      0.85      0.48   4877461
weighted avg       1.00      0.90      0.95   4877461

Accuracy: 0.9036908752320111
1-10%
              precision    recall  f1-score   support

           0       0.88      0.28      0.43  16949103
           1       0.38      0.92      0.53   8016772

    accuracy                           0.49  24965875
   macro avg       0.63      0.60      0.48  24965875
weighted avg       0.72      0.49      0.46  24965875

Accuracy: 0.48618227881057646
10-20%
              precision    recall  f1-score   support

           0       0.41      0.10      0.17   2057494
           1       0.74      0.94      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.52      0.50   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7135812945143077
20-40%
              precision    recall  f1-score   support

           0       0.25      0.09      0.14    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.52      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8147342437737657
40-80%
              precision    recall  f1-score   support

           0       0.15      0.10      0.12    235909
           1       0.92      0.95      0.93   2483775

    accuracy                           0.87   2719684
   macro avg       0.53      0.52      0.52   2719684
weighted avg       0.85      0.87      0.86   2719684

Accuracy: 0.8740386750813698
80-90%
              precision    recall  f1-score   support

           0       0.11      0.10      0.10     18577
           1       0.94      0.95      0.95    296772

    accuracy                           0.90    315349
   macro avg       0.52      0.52      0.52    315349
weighted avg       0.89      0.90      0.90    315349

Accuracy: 0.8979353034257284
90-100%
              precision    recall  f1-score   support

           0       0.10      0.10      0.10     13620
           1       0.95      0.95      0.95    240209

    accuracy                           0.90    253829
   macro avg       0.52      0.52      0.52    253829
weighted avg       0.90      0.90      0.90    253829

Accuracy: 0.9022964279101284

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.56      0.65  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.70      0.69      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6792040612313863
              precision    recall  f1-score   support

           0       0.80      0.56      0.65  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.70      0.69      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6792040612313863
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.01      0.67      0.03      3872

    accuracy                           0.96   4877461
   macro avg       0.51      0.82      0.51   4877461
weighted avg       1.00      0.96      0.98   4877461

Accuracy: 0.9649407755387486
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.01      0.67      0.03      3872

    accuracy                           0.96   4877461
   macro avg       0.51      0.82      0.51   4877461
weighted avg       1.00      0.96      0.98   4877461

Accuracy: 0.9649407755387486
1-10%
              precision    recall  f1-score   support

           0       0.85      0.49      0.62  16949103
           1       0.43      0.81      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5929809790363847
              precision    recall  f1-score   support

           0       0.90      0.60      0.72  21822692
           1       0.42      0.81      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6537724200806505
10-20%
              precision    recall  f1-score   support

           0       0.85      0.57      0.68  23880186
           1       0.52      0.82      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.68      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.660068230848328
              precision    recall  f1-score   support

           0       0.39      0.27      0.32   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6850578228804373
20-40%
              precision    recall  f1-score   support

           0       0.82      0.56      0.66  24625160
           1       0.57      0.83      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6704102844705113
              precision    recall  f1-score   support

           0       0.23      0.26      0.24    744974
           1       0.86      0.84      0.85   4060539

    accuracy                           0.75   4805513
   macro avg       0.54      0.55      0.55   4805513
weighted avg       0.76      0.75      0.76   4805513

Accuracy: 0.7508178627339058
40-80%
              precision    recall  f1-score   support

           0       0.13      0.26      0.17    235909
           1       0.92      0.84      0.88   2483775

    accuracy                           0.79   2719684
   macro avg       0.53      0.55      0.53   2719684
weighted avg       0.85      0.79      0.82   2719684

Accuracy: 0.7891902147455366

80-90%
              precision    recall  f1-score   support

           0       0.09      0.26      0.13     18577
           1       0.95      0.84      0.89    296772

    accuracy                           0.80    315349
   macro avg       0.52      0.55      0.51    315349
weighted avg       0.90      0.80      0.84    315349

Accuracy: 0.8033638920687873
90-100%
              precision    recall  f1-score   support

           0       0.08      0.26      0.13     13620
           1       0.95      0.84      0.89    240209

    accuracy                           0.81    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.81      0.85    253829

Accuracy: 0.8073624369161916

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.72      0.68  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.70      0.70      0.70  45456361

Accuracy: 0.6958789772018926
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.55      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.77      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9858184411930716
1-10%
              precision    recall  f1-score   support

           0       0.82      0.63      0.71  16949103
           1       0.47      0.70      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.65      0.67  24965875

Accuracy: 0.6545496602862908
10-20%
              precision    recall  f1-score   support

           0       0.37      0.41      0.39   2057494
           1       0.77      0.74      0.75   5461156

    accuracy                           0.65   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.65      0.65   7518650

Accuracy: 0.6473836393501493
20-40%
              precision    recall  f1-score   support

           0       0.21      0.39      0.27    744974
           1       0.87      0.74      0.80   4060539

    accuracy                           0.68   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.68      0.72   4805513

Accuracy: 0.6846078660072296
40-80%
              precision    recall  f1-score   support

           0       0.12      0.38      0.18    235909
           1       0.93      0.74      0.82   2483775

    accuracy                           0.71   2719684
   macro avg       0.52      0.56      0.50   2719684
weighted avg       0.86      0.71      0.77   2719684

Accuracy: 0.7055860166107533
80-90%
              precision    recall  f1-score   support

           0       0.08      0.38      0.13     18577
           1       0.95      0.73      0.83    296772

    accuracy                           0.71    315349
   macro avg       0.52      0.56      0.48    315349
weighted avg       0.90      0.71      0.79    315349

Accuracy: 0.7122553107826567
90-100%
              precision    recall  f1-score   support

           0       0.08      0.39      0.13     13620
           1       0.95      0.73      0.83    240209

    accuracy                           0.72    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.72      0.79    253829

Accuracy: 0.7150758975530771

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.89      0.28      0.42  22531902
           1       0.50      0.95      0.65  16938696

    accuracy                           0.57  39470598
   macro avg       0.69      0.62      0.54  39470598
weighted avg       0.72      0.57      0.52  39470598

Accuracy: 0.5673319669491707
0-1%
              precision    recall  f1-score   support

           0       1.00      0.96      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.96   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.96      0.98   1549999

Accuracy: 0.9625902984453538
1-10%
              precision    recall  f1-score   support

           0       0.98      0.32      0.48  11439888
           1       0.13      0.94      0.23   1271288

    accuracy                           0.38  12711176
   macro avg       0.56      0.63      0.36  12711176
weighted avg       0.89      0.38      0.46  12711176

Accuracy: 0.38131381392248836
10-20%
              precision    recall  f1-score   support

           0       0.77      0.13      0.22   5044441
           1       0.45      0.95      0.61   3812372

    accuracy                           0.48   8856813
   macro avg       0.61      0.54      0.41   8856813
weighted avg       0.63      0.48      0.39   8856813

Accuracy: 0.481217792449722
20-40%
              precision    recall  f1-score   support

           0       0.56      0.10      0.17   2995598
           1       0.67      0.96      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.53      0.48   8578813
weighted avg       0.63      0.66      0.57   8578813

Accuracy: 0.6583209122287664
40-80%
              precision    recall  f1-score   support

           0       0.37      0.10      0.16   1295061
           1       0.80      0.96      0.87   5001564

    accuracy                           0.78   6296625
   macro avg       0.59      0.53      0.51   6296625
weighted avg       0.71      0.78      0.73   6296625

Accuracy: 0.7797791674111131
80-90%
              precision    recall  f1-score   support

           0       0.28      0.10      0.15    117971
           1       0.86      0.96      0.91    692761

    accuracy                           0.83    810732
   macro avg       0.57      0.53      0.53    810732
weighted avg       0.78      0.83      0.80    810732

Accuracy: 0.8312216614121559
90-100%
              precision    recall  f1-score   support

           0       0.25      0.10      0.14     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.56      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.840927915491267

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.41      0.56  22531902
           1       0.54      0.90      0.67  16938696

    accuracy                           0.62  39470598
   macro avg       0.69      0.66      0.62  39470598
weighted avg       0.72      0.62      0.61  39470598

Accuracy: 0.6240024536745048
              precision    recall  f1-score   support

           0       0.85      0.41      0.56  22531902
           1       0.54      0.90      0.67  16938696

    accuracy                           0.62  39470598
   macro avg       0.69      0.66      0.62  39470598
weighted avg       0.72      0.62      0.61  39470598

Accuracy: 0.6240024536745048
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.99   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      0.99      1.00   1549999

Accuracy: 0.9917967689011412
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.99   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      0.99      1.00   1549999

Accuracy: 0.9917967689011412
1-10%
              precision    recall  f1-score   support

           0       0.98      0.55      0.71  12989887
           1       0.16      0.88      0.27   1271288

    accuracy                           0.58  14261175
   macro avg       0.57      0.72      0.49  14261175
weighted avg       0.91      0.58      0.67  14261175

Accuracy: 0.5839330209467313
              precision    recall  f1-score   support

           0       0.97      0.50      0.66  11439888
           1       0.16      0.88      0.27   1271288

    accuracy                           0.53  12711176
   macro avg       0.57      0.69      0.47  12711176
weighted avg       0.89      0.53      0.62  12711176

Accuracy: 0.5341981733240103
10-20%
              precision    recall  f1-score   support

           0       0.94      0.47      0.62  18034328
           1       0.32      0.89      0.47   5083660

    accuracy                           0.56  23117988
   macro avg       0.63      0.68      0.55  23117988
weighted avg       0.80      0.56      0.59  23117988

Accuracy: 0.5617400614620961
              precision    recall  f1-score   support

           0       0.76      0.24      0.37   5044441
           1       0.47      0.90      0.62   3812372

    accuracy                           0.53   8856813
   macro avg       0.62      0.57      0.50   8856813
weighted avg       0.64      0.53      0.48   8856813

Accuracy: 0.5260051217068713
20-40%
              precision    recall  f1-score   support

           0       0.90      0.43      0.58  21029926
           1       0.45      0.90      0.60  10666875

    accuracy                           0.59  31696801
   macro avg       0.67      0.67      0.59  31696801
weighted avg       0.74      0.59      0.59  31696801

Accuracy: 0.5887225969586016
              precision    recall  f1-score   support

           0       0.54      0.20      0.30   2995598
           1       0.68      0.91      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.56      0.54   8578813
weighted avg       0.63      0.66      0.61   8578813

Accuracy: 0.6614345131430187
40-80%
              precision    recall  f1-score   support

           0       0.86      0.42      0.56  22324987
           1       0.52      0.90      0.66  15668439

    accuracy                           0.62  37993426
   macro avg       0.69      0.66      0.61  37993426
weighted avg       0.72      0.62      0.60  37993426

Accuracy: 0.6169883705670555
              precision    recall  f1-score   support

           0       0.35      0.19      0.25   1295061
           1       0.81      0.91      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.55      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7592764377742044
80-90%
              precision    recall  f1-score   support

           0       0.25      0.19      0.22    117971
           1       0.87      0.90      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.56      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8006838264679327
90-100%
              precision    recall  f1-score   support

           0       0.24      0.19      0.21     88944
           1       0.88      0.90      0.89    577496

    accuracy                           0.81    666440
   macro avg       0.56      0.55      0.55    666440
weighted avg       0.79      0.81      0.80    666440

Accuracy: 0.8089370385931217

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.66      0.72  22531902
           1       0.63      0.77      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.70  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.7054521190684773
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9998161289136316
1-10%
              precision    recall  f1-score   support

           0       0.96      0.76      0.85  11439888
           1       0.25      0.74      0.38   1271288

    accuracy                           0.76  12711176
   macro avg       0.61      0.75      0.61  12711176
weighted avg       0.89      0.76      0.80  12711176

Accuracy: 0.758062511289278
10-20%
              precision    recall  f1-score   support

           0       0.74      0.51      0.61   5044441
           1       0.54      0.77      0.64   3812372

    accuracy                           0.62   8856813
   macro avg       0.64      0.64      0.62   8856813
weighted avg       0.66      0.62      0.62   8856813

Accuracy: 0.6216626680500085
20-40%
              precision    recall  f1-score   support

           0       0.52      0.46      0.49   2995598
           1       0.73      0.77      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.62   8578813
weighted avg       0.65      0.66      0.66   8578813

Accuracy: 0.6626260532780001
40-80%
              precision    recall  f1-score   support

           0       0.33      0.44      0.37   1295061
           1       0.84      0.77      0.80   5001564

    accuracy                           0.70   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.74      0.70      0.71   6296625

Accuracy: 0.700276100291823
80-90%
              precision    recall  f1-score   support

           0       0.24      0.43      0.31    117971
           1       0.89      0.76      0.82    692761

    accuracy                           0.72    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.79      0.72      0.75    810732

Accuracy: 0.7156125575405929
90-100%
              precision    recall  f1-score   support

           0       0.22      0.43      0.29     88944
           1       0.90      0.76      0.82    577496

    accuracy                           0.72    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.72      0.75    666440

Accuracy: 0.7187383710461557

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.20      0.32  28055468
           1       0.48      0.96      0.64  21729815

    accuracy                           0.53  49785283
   macro avg       0.67      0.58      0.48  49785283
weighted avg       0.70      0.53      0.46  49785283

Accuracy: 0.529126027063058
0-1%
              precision    recall  f1-score   support

           0       0.89      0.20      0.32  27764588
           1       0.42      0.96      0.59  17098553

    accuracy                           0.49  44863141
   macro avg       0.66      0.58      0.46  44863141
weighted avg       0.71      0.49      0.42  44863141

Accuracy: 0.48753207003495364
1-10%
              precision    recall  f1-score   support

           0       0.08      0.05      0.06    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.51      0.50      0.50   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9032551566576849
10-20%
              precision    recall  f1-score   support

           0       0.02      0.07      0.03      2455
           1       0.99      0.96      0.98    257616

    accuracy                           0.95    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.95      0.97    260071

Accuracy: 0.953128184226615
20-40%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02       659
           1       1.00      0.96      0.98    130568

    accuracy                           0.96    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.96      0.97    131227

Accuracy: 0.9576687724325025
40-80%
              precision    recall  f1-score   support

           0       0.01      0.14      0.02       169
           1       1.00      0.96      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.55      0.50     65403
weighted avg       1.00      0.96      0.98     65403

Accuracy: 0.9591456049416693
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.96      7386
   macro avg       0.50      0.55      0.50      7386
weighted avg       1.00      0.96      0.98      7386

Accuracy: 0.9611427024099648
90-100%
              precision    recall  f1-score   support

           0       0.02      0.22      0.03        18
           1       1.00      0.96      0.98      5686

    accuracy                           0.96      5704
   macro avg       0.51      0.59      0.51      5704
weighted avg       0.99      0.96      0.98      5704

Accuracy: 0.960203366058906

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055468
           1       0.51      0.90      0.65  21729815

    accuracy                           0.58  49785283
   macro avg       0.66      0.62      0.56  49785283
weighted avg       0.68      0.58      0.55  49785283

Accuracy: 0.5817977573814334
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055468
           1       0.51      0.90      0.65  21729815

    accuracy                           0.58  49785283
   macro avg       0.66      0.62      0.56  49785283
weighted avg       0.68      0.58      0.55  49785283

Accuracy: 0.5817977573814334
0-1%
              precision    recall  f1-score   support

           0       0.84      0.34      0.48  27764588
           1       0.46      0.90      0.60  17098553

    accuracy                           0.55  44863141
   macro avg       0.65      0.62      0.54  44863141
weighted avg       0.69      0.55      0.53  44863141

Accuracy: 0.5518211263897015
              precision    recall  f1-score   support

           0       0.84      0.34      0.48  27764588
           1       0.46      0.90      0.60  17098553

    accuracy                           0.55  44863141
   macro avg       0.65      0.62      0.54  44863141
weighted avg       0.69      0.55      0.53  44863141

Accuracy: 0.5518211263897015
1-10%
              precision    recall  f1-score   support

           0       0.08      0.12      0.09    287564
           1       0.94      0.90      0.92   4164787

    accuracy                           0.85   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.85      0.87   4452351

Accuracy: 0.8509160665904373
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28052152
           1       0.51      0.90      0.65  21263340

    accuracy                           0.58  49315492
   macro avg       0.66      0.62      0.56  49315492
weighted avg       0.68      0.58      0.55  49315492

Accuracy: 0.5788243175187221
10-20%
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28054607
           1       0.51      0.90      0.65  21520956

    accuracy                           0.58  49575563
   macro avg       0.66      0.62      0.56  49575563
weighted avg       0.68      0.58      0.55  49575563

Accuracy: 0.5804661663650699
              precision    recall  f1-score   support

           0       0.01      0.13      0.02      2455
           1       0.99      0.90      0.94    257616

    accuracy                           0.89    260071
   macro avg       0.50      0.51      0.48    260071
weighted avg       0.98      0.89      0.93    260071

Accuracy: 0.8917987780260006
20-40%
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055266
           1       0.51      0.90      0.65  21651524

    accuracy                           0.58  49706790
   macro avg       0.66      0.62      0.56  49706790
weighted avg       0.68      0.58      0.55  49706790

Accuracy: 0.5813016692488089
              precision    recall  f1-score   support

           0       0.01      0.16      0.02       659
           1       1.00      0.90      0.95    130568

    accuracy                           0.90    131227
   macro avg       0.50      0.53      0.48    131227
weighted avg       0.99      0.90      0.94    131227

Accuracy: 0.8969419403019195
40-80%
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055435
           1       0.51      0.90      0.65  21716758

    accuracy                           0.58  49772193
   macro avg       0.66      0.62      0.56  49772193
weighted avg       0.68      0.58      0.55  49772193

Accuracy: 0.5817143319363083
              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.90      0.94     65234

    accuracy                           0.90     65403
   macro avg       0.50      0.54      0.48     65403
weighted avg       1.00      0.90      0.94     65403

Accuracy: 0.8953411923000474
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.90      0.94      7371

    accuracy                           0.90      7386
   macro avg       0.50      0.52      0.47      7386
weighted avg       1.00      0.90      0.94      7386

Accuracy: 0.8952071486596264
90-100%
              precision    recall  f1-score   support

           0       0.01      0.28      0.02        18
           1       1.00      0.91      0.95      5686

    accuracy                           0.90      5704
   macro avg       0.50      0.59      0.48      5704
weighted avg       0.99      0.90      0.95      5704

Accuracy: 0.9039270687237027

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.04      0.07  26119367
           1       0.46      1.00      0.63  21615229

    accuracy                           0.47  47734596
   macro avg       0.69      0.52      0.35  47734596
weighted avg       0.71      0.47      0.32  47734596

Accuracy: 0.4712758436250304
0-1%
              precision    recall  f1-score   support

           0       1.00      0.07      0.13  12053010
           1       0.04      1.00      0.08    508421

    accuracy                           0.11  12561431
   macro avg       0.52      0.53      0.11  12561431
weighted avg       0.96      0.11      0.13  12561431

Accuracy: 0.10621369492058667
1-10%
              precision    recall  f1-score   support

           0       0.69      0.01      0.02  13368467
           1       0.52      1.00      0.68  14466820

    accuracy                           0.52  27835287
   macro avg       0.61      0.50      0.35  27835287
weighted avg       0.60      0.52      0.37  27835287

Accuracy: 0.5224117143106878
10-20%
              precision    recall  f1-score   support

           0       0.27      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8683434777680479
20-40%
              precision    recall  f1-score   support

           0       0.20      0.01      0.03    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.56      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9274205314382602
40-80%
              precision    recall  f1-score   support

           0       0.16      0.02      0.04     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.56      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9590566916388988
80-90%
              precision    recall  f1-score   support

           0       0.16      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.57      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9715808313715373
90-100%
              precision    recall  f1-score   support

           0       0.16      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.57      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9734091252075054

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26119367
           1       0.47      0.99      0.64  21615229

    accuracy                           0.49  47734596
   macro avg       0.68      0.53      0.39  47734596
weighted avg       0.70      0.49      0.37  47734596

Accuracy: 0.49043582562215465
              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26119367
           1       0.47      0.99      0.64  21615229

    accuracy                           0.49  47734596
   macro avg       0.68      0.53      0.39  47734596
weighted avg       0.70      0.49      0.37  47734596

Accuracy: 0.49043582562215465
0-1%
              precision    recall  f1-score   support

           0       1.00      0.14      0.25  12053010
           1       0.05      0.99      0.09    508421

    accuracy                           0.17  12561431
   macro avg       0.52      0.56      0.17  12561431
weighted avg       0.96      0.17      0.24  12561431

Accuracy: 0.1745133973987518
              precision    recall  f1-score   support

           0       1.00      0.14      0.25  12053010
           1       0.05      0.99      0.09    508421

    accuracy                           0.17  12561431
   macro avg       0.52      0.56      0.17  12561431
weighted avg       0.96      0.17      0.24  12561431

Accuracy: 0.1745133973987518
1-10%
              precision    recall  f1-score   support

           0       0.92      0.08      0.15  25421477
           1       0.39      0.99      0.56  14975241

    accuracy                           0.42  40396718
   macro avg       0.65      0.53      0.35  40396718
weighted avg       0.72      0.42      0.30  40396718

Accuracy: 0.4166934551465295
              precision    recall  f1-score   support

           0       0.67      0.03      0.05  13368467
           1       0.52      0.99      0.68  14466820

    accuracy                           0.53  27835287
   macro avg       0.60      0.51      0.37  27835287
weighted avg       0.59      0.53      0.38  27835287

Accuracy: 0.5259837989096359
10-20%
              precision    recall  f1-score   support

           0       0.90      0.08      0.15  25924842
           1       0.43      0.99      0.60  18362515

    accuracy                           0.46  44287357
   macro avg       0.67      0.53      0.37  44287357
weighted avg       0.71      0.46      0.33  44287357

Accuracy: 0.4559228494940441
              precision    recall  f1-score   support

           0       0.21      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.54      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8632438013395743
20-40%
              precision    recall  f1-score   support

           0       0.90      0.08      0.14  26072330
           1       0.46      0.99      0.62  20332940

    accuracy                           0.48  46405270
   macro avg       0.68      0.53      0.38  46405270
weighted avg       0.70      0.48      0.35  46405270

Accuracy: 0.47715774523022925
              precision    recall  f1-score   support

           0       0.14      0.03      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.54      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.9211974240679386
40-80%
              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26113946
           1       0.47      0.99      0.63  21397219

    accuracy                           0.49  47511165
   macro avg       0.68      0.53      0.39  47511165
weighted avg       0.70      0.49      0.37  47511165

Accuracy: 0.48820526711984435
              precision    recall  f1-score   support

           0       0.09      0.03      0.05     41616
           1       0.96      0.99      0.98   1064279

    accuracy                           0.95   1105895
   macro avg       0.53      0.51      0.51   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9517784238105788
80-90%
              precision    recall  f1-score   support

           0       0.09      0.05      0.06      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.96    124036
   macro avg       0.53      0.52      0.52    124036
weighted avg       0.95      0.96      0.96    124036

Accuracy: 0.9637363346125318
90-100%
              precision    recall  f1-score   support

           0       0.08      0.04      0.05      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.53      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9660143870416017

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.94      0.02      0.04  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.46  45456361
   macro avg       0.70      0.51      0.33  45456361
weighted avg       0.72      0.46      0.31  45456361

Accuracy: 0.4634114024217645
0-1%
              precision    recall  f1-score   support

           0       1.00      0.08      0.15   4873589
           1       0.00      1.00      0.00      3872

    accuracy                           0.08   4877461
   macro avg       0.50      0.54      0.07   4877461
weighted avg       1.00      0.08      0.14   4877461

Accuracy: 0.07890129721180754
1-10%
              precision    recall  f1-score   support

           0       0.90      0.01      0.02  16949103
           1       0.32      1.00      0.49   8016772

    accuracy                           0.33  24965875
   macro avg       0.61      0.50      0.25  24965875
weighted avg       0.72      0.33      0.17  24965875

Accuracy: 0.32577632468319256
10-20%
              precision    recall  f1-score   support

           0       0.59      0.01      0.01   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.66      0.50      0.43   7518650
weighted avg       0.69      0.73      0.61   7518650

Accuracy: 0.7268287525021114
20-40%
              precision    recall  f1-score   support

           0       0.52      0.01      0.02    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.85   4805513
   macro avg       0.68      0.50      0.47   4805513
weighted avg       0.80      0.85      0.78   4805513

Accuracy: 0.8450872986921479
40-80%
              precision    recall  f1-score   support

           0       0.52      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.72      0.51      0.49   2719684
weighted avg       0.88      0.91      0.87   2719684

Accuracy: 0.9133406675187264
80-90%
              precision    recall  f1-score   support

           0       0.52      0.02      0.04     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.73      0.51      0.50    315349
weighted avg       0.92      0.94      0.91    315349

Accuracy: 0.9411953105923913
90-100%
              precision    recall  f1-score   support

           0       0.50      0.02      0.04     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.73      0.51      0.51    253829
weighted avg       0.92      0.95      0.92    253829

Accuracy: 0.9463654665148584

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.47  45456361
   macro avg       0.69      0.52      0.36  45456361
weighted avg       0.71      0.47      0.33  45456361

Accuracy: 0.47456570489661504
              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.47  45456361
   macro avg       0.69      0.52      0.36  45456361
weighted avg       0.71      0.47      0.33  45456361

Accuracy: 0.47456570489661504
0-1%
              precision    recall  f1-score   support

           0       1.00      0.15      0.27   4873589
           1       0.00      0.99      0.00      3872

    accuracy                           0.15   4877461
   macro avg       0.50      0.57      0.13   4877461
weighted avg       1.00      0.15      0.27   4877461

Accuracy: 0.15409431259419604
              precision    recall  f1-score   support

           0       1.00      0.15      0.27   4873589
           1       0.00      0.99      0.00      3872

    accuracy                           0.15   4877461
   macro avg       0.50      0.57      0.13   4877461
weighted avg       1.00      0.15      0.27   4877461

Accuracy: 0.15409431259419604
1-10%
              precision    recall  f1-score   support

           0       0.89      0.02      0.04  16949103
           1       0.32      1.00      0.49   8016772

    accuracy                           0.33  24965875
   macro avg       0.61      0.51      0.26  24965875
weighted avg       0.71      0.33      0.18  24965875

Accuracy: 0.3323101633730042
              precision    recall  f1-score   support

           0       0.96      0.05      0.09  21822692
           1       0.28      1.00      0.43   8020644

    accuracy                           0.30  29843336
   macro avg       0.62      0.52      0.26  29843336
weighted avg       0.78      0.30      0.18  29843336

Accuracy: 0.30318336395100065
10-20%
              precision    recall  f1-score   support

           0       0.94      0.05      0.09  23880186
           1       0.37      1.00      0.54  13481800

    accuracy                           0.39  37361986
   macro avg       0.66      0.52      0.31  37361986
weighted avg       0.74      0.39      0.25  37361986

Accuracy: 0.3882933043227413
              precision    recall  f1-score   support

           0       0.48      0.01      0.02   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.50      0.43   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7261151935520339
20-40%

              precision    recall  f1-score   support

           0       0.35      0.01      0.03    744974
           1       0.85      1.00      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.60      0.50      0.47   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8432288082458627
40-80%
              precision    recall  f1-score   support

           0       0.29      0.02      0.04    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9108234633141203
              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24861069
           1       0.46      1.00      0.63  20026114

    accuracy                           0.47  44887183
   macro avg       0.69      0.52      0.36  44887183
weighted avg       0.71      0.47      0.33  44887183

Accuracy: 0.4686573447926104
80-90%
              precision    recall  f1-score   support

           0       0.26      0.03      0.05     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.60      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9382335127113135
90-100%
              precision    recall  f1-score   support

           0       0.25      0.03      0.05     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.60      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.943355566148864

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.97      0.01      0.02  22531902
           1       0.43      1.00      0.60  16938696

    accuracy                           0.43  39470598
   macro avg       0.70      0.50      0.31  39470598
weighted avg       0.74      0.43      0.27  39470598

Accuracy: 0.43401949471350804
0-1%
              precision    recall  f1-score   support

           0       1.00      0.08      0.15   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.08   1549999
   macro avg       0.50      0.04      0.07   1549999
weighted avg       1.00      0.08      0.15   1549999

Accuracy: 0.07853359905393488
1-10%
              precision    recall  f1-score   support

           0       0.98      0.00      0.01  11439888
           1       0.10      1.00      0.18   1271288

    accuracy                           0.10  12711176
   macro avg       0.54      0.50      0.10  12711176
weighted avg       0.89      0.10      0.03  12711176

Accuracy: 0.10443384624679888
10-20%
              precision    recall  f1-score   support

           0       0.82      0.00      0.00   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.62      0.50      0.30   8856813
weighted avg       0.65      0.43      0.26   8856813

Accuracy: 0.4313116919144618
20-40%
              precision    recall  f1-score   support

           0       0.72      0.00      0.00   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.69      0.50      0.40   8578813
weighted avg       0.68      0.65      0.51   8578813

Accuracy: 0.6512376479123627
40-80%
              precision    recall  f1-score   support

           0       0.74      0.00      0.01   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.77      0.50      0.45   6296625
weighted avg       0.78      0.79      0.70   6296625

Accuracy: 0.79471367597721
80-90%
              precision    recall  f1-score   support

           0       0.81      0.00      0.01    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.83      0.50      0.46    810732
weighted avg       0.85      0.85      0.79    810732

Accuracy: 0.8549459007415521
90-100%
              precision    recall  f1-score   support

           0       0.78      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.82      0.50      0.47    666440
weighted avg       0.86      0.87      0.81    666440

Accuracy: 0.8669437608786987

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22531902
           1       0.43      1.00      0.61  16938696

    accuracy                           0.44  39470598
   macro avg       0.70      0.51      0.32  39470598
weighted avg       0.73      0.44      0.28  39470598

Accuracy: 0.44080791479267684
              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22531902
           1       0.43      1.00      0.61  16938696

    accuracy                           0.44  39470598
   macro avg       0.70      0.51      0.32  39470598
weighted avg       0.73      0.44      0.28  39470598

Accuracy: 0.44080791479267684
0-1%

              precision    recall  f1-score   support

           0       1.00      0.17      0.29   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.17   1549999
   macro avg       0.50      0.08      0.14   1549999
weighted avg       1.00      0.17      0.29   1549999

Accuracy: 0.16862785072764563
1-10%
              precision    recall  f1-score   support

           0       0.99      0.03      0.06  12989887
           1       0.09      1.00      0.17   1271288

    accuracy                           0.12  14261175
   macro avg       0.54      0.52      0.12  14261175
weighted avg       0.91      0.12      0.07  14261175

Accuracy: 0.11858826499219033
              precision    recall  f1-score   support

           0       0.98      0.01      0.03  11439888
           1       0.10      1.00      0.18   1271288

    accuracy                           0.11  12711176
   macro avg       0.54      0.51      0.11  12711176
weighted avg       0.90      0.11      0.04  12711176

Accuracy: 0.11248644499926679
10-20%

              precision    recall  f1-score   support

           0       0.81      0.01      0.01   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.62      0.50      0.31   8856813
weighted avg       0.65      0.43      0.27   8856813

Accuracy: 0.43288471823894215
20-40%
              precision    recall  f1-score   support

           0       0.97      0.02      0.04  21029926
           1       0.34      1.00      0.51  10666875

    accuracy                           0.35  31696801
   macro avg       0.65      0.51      0.28  31696801
weighted avg       0.76      0.35      0.20  31696801

Accuracy: 0.3507822130062904
              precision    recall  f1-score   support

           0       0.72      0.01      0.01   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.69      0.50      0.40   8578813
weighted avg       0.68      0.65      0.52   8578813

Accuracy: 0.652011764331499
40-80%
              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22324987
           1       0.42      1.00      0.59  15668439

    accuracy                           0.42  37993426
   macro avg       0.69      0.51      0.32  37993426
weighted avg       0.74      0.42      0.27  37993426

Accuracy: 0.42446380065856654
              precision    recall  f1-score   support

           0       0.73      0.01      0.02   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.80   6296625
   macro avg       0.76      0.50      0.45   6296625
weighted avg       0.78      0.80      0.71   6296625

Accuracy: 0.7953721239552936
80-90%
              precision    recall  f1-score   support

           0       0.78      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.82      0.51      0.47    810732
weighted avg       0.85      0.86      0.79    810732

Accuracy: 0.8557155755539438
90-100%
              precision    recall  f1-score   support

           0       0.80      0.01      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.51      0.48    666440
weighted avg       0.86      0.87      0.81    666440

Accuracy: 0.8678380649420803

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Individual Workload Result

zipf_1_15

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6046758 0.403719../../result/log/zipf_1_15 0.01 1
Zipf Optimal Distribution 9519768 0.404397../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
Offline Clock 1st iteration 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10440919 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10439791 0.405179../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8731112 0.405191../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8730451 0.405225../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8737176 0.405235../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6647217 0.40926 ../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6644960 0.409272../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6643390 0.409278../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5395897 0.413662../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5395433 0.413663../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5394390 0.41367 ../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8242479 0.413734../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6734228 0.416334../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6613680 0.416755../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6555803 0.416964../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4544576 0.417459../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4542983 0.417466../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4543024 0.417467../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5951926 0.421107../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3360769 0.423796../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3359639 0.423802../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3359046 0.423806../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3769272 0.42713 ../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3795018 0.42791 ../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3794070 0.42792 ../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3705737 0.428311../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1758243 0.435337../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2199323 0.435544../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1538851 0.439285../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1455705 0.439779../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1395979 0.440154../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1175850 0.441271../../result/log/zipf_1_15 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5855919 0.209857../../result/log/zipf_1_15 0.1 1
Zipf Optimal Distribution 8927244 0.211885../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
Offline Clock 1st iteration 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10273543 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10273433 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10270543 0.213824../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10239417 0.213887../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10143683 0.214071../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7216965 0.216996../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7215536 0.216998../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7216309 0.217004../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7890608 0.219222../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4737250 0.22218 ../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4734029 0.22219 ../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4733150 0.222191../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6313074 0.223174../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6304059 0.2232 ../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6293267 0.223231../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5377652 0.224473../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3704922 0.226196../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3703970 0.226198../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3704170 0.226199../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3878974 0.228482../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4110260 0.23031 ../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4090224 0.23038 ../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4083679 0.230404../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2487684 0.232159../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2487458 0.232161../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2486200 0.232167../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224245 0.234625../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1684624 0.24083 ../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1659779 0.240959../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1647700 0.241021../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420889 0.248217../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193561 0.2498 ../../result/log/zipf_1_15 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5679810 0.147307../../result/log/zipf_1_15 0.2 1
Zipf Optimal Distribution 8496578 0.150203../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10000375 0.15275 ../../result/log/zipf_1_15 0.2 1
Offline Clock 1st iteration 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10000097 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10000395 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 9999712 0.152751../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 9999162 0.152753../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9604876 0.15338 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9586284 0.153416../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9568910 0.153447../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6040582 0.160527../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6035426 0.16054 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6031811 0.160549../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4696286 0.163388../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4356984 0.164048../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4353128 0.164057../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4347879 0.164066../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021354 0.166205../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4020575 0.166207../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4019865 0.166209../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3445463 0.16707 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3314446 0.167228../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3311970 0.167232../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3309778 0.167235../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1883662 0.171925../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1875241 0.171937../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1864327 0.171946../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022522 0.172074../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1747002 0.175033../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742919 0.175052../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1740023 0.175066../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 217023 0.183617../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101791 0.184441../../result/log/zipf_1_15 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5220469 0.0827401../../result/log/zipf_1_15 0.4 1
Zipf Optimal Distribution 7658498 0.0867334../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
Offline Clock 1st iteration 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8399329 0.0906425../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8395556 0.090647 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8394244 0.090648 ../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8348337 0.0907016../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8343410 0.0907082../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8341028 0.0907109../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5443960 0.0949 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5443291 0.0949008../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5441395 0.0949039../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5428568 0.0949253../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5428111 0.0949261../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5427760 0.0949267../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4022189 0.0976843../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3762497 0.0984022../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3761198 0.0984033../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3760799 0.0984036../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3727070 0.0984849../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3726531 0.0984863../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3725966 0.0984879../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2082106 0.103085 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1809011 0.104392 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1808268 0.104395 ../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1807381 0.104398 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1791179 0.104443 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1790454 0.104446 ../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1789547 0.10445 ../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1267709 0.106156 ../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87314 0.113052 ../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 36115 0.113426 ../../result/log/zipf_1_15 0.4 1

zipf_1_16

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6044928 0.403882../../result/log/zipf_1_16 0.01 1
Zipf Optimal Distribution 9516893 0.40457 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
Offline Clock 1st iteration 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10437581 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10436347 0.405354../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8726327 0.405386../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8725868 0.40542 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8732526 0.405431../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6644635 0.409435../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6642620 0.409445../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6641067 0.409452../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5391766 0.413825../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5391977 0.413827../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5390735 0.413832../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8239578 0.413925../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6733777 0.416491../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6613943 0.416905../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6555117 0.417117../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4543597 0.417588../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4542423 0.417593../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4542238 0.417596../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5949888 0.421275../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3363799 0.423905../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3362433 0.423914../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3362161 0.423915../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3768645 0.427273../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3794773 0.428055../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3793209 0.428066../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3704986 0.428455../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1757198 0.435467../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2199923 0.435688../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1541566 0.439412../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1456803 0.439916../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1396899 0.440291../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176660 0.441402../../result/log/zipf_1_16 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5851636 0.210029../../result/log/zipf_1_16 0.1 1
Zipf Optimal Distribution 8926367 0.212052../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
Offline Clock 1st iteration 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10274500 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10271666 0.213989../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10243461 0.214046../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10147164 0.214231../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7216374 0.217167../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7214966 0.217169../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7215727 0.217175../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7894610 0.21938 ../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4738193 0.222326../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4735021 0.222335../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4733840 0.222338../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6318541 0.223323../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6309387 0.22335 ../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6298342 0.223385../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5380365 0.224623../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3706147 0.226329../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3705147 0.226332../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3704837 0.226332../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3880149 0.228621../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4111649 0.230457../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4091646 0.230531../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4085206 0.230552../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2487232 0.232314../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2486949 0.232317../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2485862 0.232323../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224337 0.23477 ../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1682058 0.241013../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1658056 0.241133../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1646157 0.241196../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420884 0.248365../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193186 0.249944../../result/log/zipf_1_16 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5683642 0.147393../../result/log/zipf_1_16 0.2 1
Zipf Optimal Distribution 8505430 0.150288../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10010485 0.152836../../result/log/zipf_1_16 0.2 1
Offline Clock 1st iteration 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10010505 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10010226 0.152837../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10009864 0.152838../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 10009338 0.152839../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9616362 0.153467../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9598544 0.153498../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9581302 0.153529../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6044601 0.160647../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6039481 0.160661../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6035935 0.160669../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4701991 0.163493../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4361733 0.164157../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4357859 0.164165../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4352832 0.164175../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4026213 0.16631 ../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4025598 0.166311../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4024916 0.166314../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3449253 0.167174../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3318529 0.167323../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3316277 0.167327../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3313986 0.167329../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1884768 0.172017../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1876720 0.172025../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1865708 0.172037../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2024363 0.172162../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1746643 0.17513 ../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742907 0.175147../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1739888 0.175162../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216807 0.183694../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101602 0.184524../../result/log/zipf_1_16 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5225924 0.0827439../../result/log/zipf_1_16 0.4 1
Zipf Optimal Distribution 7664562 0.0867505../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
Offline Clock 1st iteration 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8405327 0.0906652../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8401564 0.0906702../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8400206 0.0906713../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8355176 0.0907292../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8350532 0.0907341../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8348071 0.0907372../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5452787 0.0949107../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5452024 0.094912 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5450060 0.0949163../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5437415 0.0949367../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5436795 0.0949382../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5436522 0.0949385../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4028109 0.0976989../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3770881 0.0984211../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3769609 0.0984242../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3769124 0.0984251../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3732022 0.0985083../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3731373 0.0985102../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3730649 0.0985127../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2084724 0.103106 ../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1810756 0.104408 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1809921 0.104411 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1809031 0.104415 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1791955 0.104464 ../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1792437 0.104464 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1790913 0.10447 ../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1269156 0.106185 ../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87208 0.113083 ../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 36416 0.113451 ../../result/log/zipf_1_16 0.4 1

zipf_1_17

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6046350 0.403777../../result/log/zipf_1_17 0.01 1
Zipf Optimal Distribution 9518366 0.404457../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
Offline Clock 1st iteration 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10439514 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10438399 0.405248../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8728082 0.405269../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8726886 0.405304../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8733354 0.405315../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6647794 0.40932 ../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6645249 0.409333../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6644053 0.409339../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5395395 0.413709../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5395990 0.413711../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5394726 0.413716../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8240720 0.413818../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6735183 0.416378../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6615081 0.416793../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6556563 0.417008../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4546871 0.417476../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4545638 0.417479../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4545583 0.417482../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5952343 0.421169../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3365292 0.423799../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3363908 0.423807../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3363487 0.423809../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3770422 0.427162../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3796090 0.427953../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3794990 0.427964../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3706669 0.428353../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1758568 0.435363../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2203235 0.435565../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1540387 0.439321../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1456588 0.439811../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1396529 0.440189../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176510 0.441305../../result/log/zipf_1_17 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5851791 0.209897../../result/log/zipf_1_17 0.1 1
Zipf Optimal Distribution 8925674 0.211925../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
Offline Clock 1st iteration 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10272629 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10272511 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10269580 0.213858../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10239477 0.213918../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10141557 0.214113../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7212567 0.217055../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7211379 0.217057../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7211905 0.217064../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7890041 0.219254../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4738449 0.222188../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4735201 0.222198../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4734409 0.2222 ../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6309030 0.223228../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6300211 0.223253../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6289254 0.223285../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5375344 0.224522../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3706288 0.226191../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3705211 0.226195../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3704953 0.226195../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3880286 0.228496../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4111180 0.23034 ../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4091778 0.230408../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4085178 0.230431../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2488327 0.232164../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2487992 0.232166../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2486732 0.232173../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224946 0.234618../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1684121 0.240858../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1660063 0.240977../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1647886 0.241041../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420548 0.248225../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193420 0.249806../../result/log/zipf_1_17 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5680729 0.147336../../result/log/zipf_1_17 0.2 1
Zipf Optimal Distribution 8498188 0.150231../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10002858 0.152785../../result/log/zipf_1_17 0.2 1
Offline Clock 1st iteration 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10002871 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10002145 0.152786../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10002553 0.152786../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 10001590 0.152788../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9607488 0.153418../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9589724 0.153449../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9572529 0.153477../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6036959 0.160581../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6032244 0.160593../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6028506 0.160602../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4697984 0.163428../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4357895 0.164091../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4354036 0.164098../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4348719 0.164108../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021861 0.166254../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4021063 0.166257../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4020453 0.166258../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3449515 0.167086../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3317870 0.167243../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3315498 0.167247../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3313407 0.16725 ../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1883432 0.171953../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1874738 0.171965../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1863772 0.171976../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022310 0.172107../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1746120 0.175073../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742041 0.175092../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1739006 0.175107../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216929 0.183643../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 102090 0.184467../../result/log/zipf_1_17 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5224778 0.0827112../../result/log/zipf_1_17 0.4 1
Zipf Optimal Distribution 7661751 0.0867151../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
Offline Clock 1st iteration 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8404341 0.0906198../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8400569 0.090626 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8399085 0.0906271../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8353580 0.0906838../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8348581 0.09069 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8346174 0.0906931../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5447795 0.0948853../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5447141 0.0948863../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5445326 0.0948899../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5432304 0.0949123../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5431793 0.0949135../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5431443 0.0949136../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4026445 0.097665 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3767780 0.0983931../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3766359 0.0983955../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3765984 0.098396 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3730537 0.0984798../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3729960 0.0984815../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3729374 0.0984827../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2083598 0.103091 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1808285 0.104398 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1807629 0.1044 ../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1806752 0.104404 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1790047 0.104452 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1789334 0.104454 ../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1788454 0.104458 ../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1268039 0.10616 ../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87284 0.113031 ../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 35743 0.113408 ../../result/log/zipf_1_17 0.4 1

zipf_1_18

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6046061 0.40372 ../../result/log/zipf_1_18 0.01 1
Zipf Optimal Distribution 9518058 0.404413../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
Offline Clock 1st iteration 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10439702 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10438585 0.405205../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8729644 0.405207../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8728768 0.405242../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8735480 0.405254../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6648927 0.409247../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6646598 0.409259../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6644967 0.409265../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5391546 0.413664../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5392025 0.413664../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5390439 0.413671../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8243229 0.413757../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6736280 0.41633 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6616555 0.416744../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6558117 0.416954../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4544111 0.417436../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4542688 0.417442../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4542541 0.417445../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5952093 0.421119../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3364397 0.423761../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3363098 0.423769../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3362796 0.42377 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3768750 0.427127../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3794691 0.427902../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3794220 0.427904../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3706346 0.428292../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1758895 0.435314../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2200039 0.435536../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1539105 0.439275../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1456112 0.439763../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1395766 0.440143../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176016 0.441251../../result/log/zipf_1_18 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5852167 0.209865../../result/log/zipf_1_18 0.1 1
Zipf Optimal Distribution 8924501 0.211883../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
Offline Clock 1st iteration 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10268390 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10268275 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10265072 0.213828../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10232603 0.21389 ../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10137363 0.214076../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7214951 0.216993../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7213180 0.216996../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7213784 0.217002../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7887789 0.219208../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4741084 0.222144../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4737750 0.222154../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4736931 0.222155../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6310574 0.223174../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6301429 0.2232 ../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6290318 0.223233../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5378521 0.22446 ../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3707404 0.22616 ../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3706614 0.226162../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3706165 0.226163../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3881983 0.228452../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4111719 0.230295../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4091554 0.230369../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4084804 0.230396../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2486239 0.232138../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2485952 0.23214 ../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2484643 0.232147../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224237 0.234594../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1685281 0.240813../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1659881 0.240945../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1647709 0.241008../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420590 0.248191../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193808 0.249767../../result/log/zipf_1_18 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5677502 0.147262../../result/log/zipf_1_18 0.2 1
Zipf Optimal Distribution 8501025 0.150135../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10001051 0.152706../../result/log/zipf_1_18 0.2 1
Offline Clock 1st iteration 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10001064 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10000770 0.152707../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10000400 0.152708../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 9999791 0.152709../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9604512 0.153342../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9586153 0.153375../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9569726 0.153401../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6037496 0.160511../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6032945 0.160522../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6029208 0.160532../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4696106 0.163353../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4358289 0.164 ../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4354357 0.16401 ../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4348912 0.164022../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021792 0.166162../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4021129 0.166164../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4020404 0.166167../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3447337 0.167023../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3315878 0.167176../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3313663 0.16718 ../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3311610 0.16718 ../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1884210 0.171862../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1875598 0.171873../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1864572 0.171883../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022922 0.172008../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1746378 0.174979../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742595 0.174995../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1739614 0.175008../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216802 0.183554../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101898 0.184375../../result/log/zipf_1_18 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5223361 0.0826611../../result/log/zipf_1_18 0.4 1
Zipf Optimal Distribution 7661309 0.0866641../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
Offline Clock 1st iteration 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8398050 0.0905737../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8394273 0.0905789../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8392971 0.0905802../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8347425 0.0906399../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8342049 0.0906462../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8339582 0.0906492../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5440870 0.0948423../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5440331 0.0948431../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5438445 0.0948469../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5425937 0.094869 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5425339 0.0948704../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5425052 0.0948708../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4021280 0.0976172../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3760419 0.0983445../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3759353 0.098348 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3759032 0.0983493../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3726947 0.098431 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3726252 0.0984329../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3725664 0.0984347../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2082036 0.103021 ../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1807986 0.104327 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1807260 0.10433 ../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1806245 0.104333 ../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1790277 0.104379 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1789672 0.104381 ../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1788884 0.104384 ../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1267830 0.106096 ../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87300 0.112988 ../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 35928 0.113367 ../../result/log/zipf_1_18 0.4 1

zipf_1_19

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6047379 0.403776../../result/log/zipf_1_19 0.01 1
Zipf Optimal Distribution 9518278 0.404475../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
Offline Clock 1st iteration 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10442755 0.405257../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8731810 0.405258../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10441576 0.405263../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8730846 0.405291../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8737350 0.405305../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6647233 0.409316../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6645302 0.409327../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6643912 0.409333../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5394297 0.413707../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5394857 0.413707../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5393299 0.413714../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8244858 0.413813../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6739492 0.416374../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6618972 0.416793../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6559818 0.417008../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4547437 0.417477../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4546078 0.417482../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4545854 0.417485../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5953935 0.421167../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3364481 0.42381 ../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3363160 0.423819../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3362791 0.423821../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3769376 0.427171../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3800509 0.427938../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3799093 0.427947../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3710430 0.428343../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1759129 0.435369../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2201811 0.435574../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1542115 0.439306../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1458005 0.439802../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1397220 0.440189../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176733 0.441303../../result/log/zipf_1_19 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5852464 0.209927../../result/log/zipf_1_19 0.1 1
Zipf Optimal Distribution 8923837 0.21197 ../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
Offline Clock 1st iteration 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10270641 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10270565 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10267513 0.213888../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10237768 0.213947../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10141980 0.214132../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7213949 0.217073../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7212388 0.217075../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7213158 0.21708 ../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7889703 0.219279../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4740122 0.222219../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4737502 0.222224../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4736635 0.222227../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6314367 0.223239../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6304920 0.223266../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6294254 0.223297../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5379727 0.224537../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3708704 0.226217../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3707682 0.22622 ../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3707309 0.226221../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3883613 0.228517../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4113768 0.230355../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4093623 0.230429../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4087149 0.230453../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2489838 0.232195../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2489585 0.232196../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2488451 0.232202../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2225772 0.234666../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1682358 0.240908../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1658095 0.24103 ../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1646121 0.241091../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 421338 0.248257../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193843 0.249839../../result/log/zipf_1_19 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5678610 0.147359../../result/log/zipf_1_19 0.2 1
Zipf Optimal Distribution 8501803 0.150225../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10003444 0.152791../../result/log/zipf_1_19 0.2 1
Offline Clock 1st iteration 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10003463 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10003230 0.152792../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10002848 0.152793../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 10002271 0.152794../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9608791 0.153425../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9590329 0.153458../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9573701 0.153485../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6040435 0.16059 ../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6035527 0.160602../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6031708 0.160611../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4697660 0.163434../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4358524 0.164088../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4354820 0.164095../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4349662 0.164106../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021224 0.166255../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4020467 0.166257../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4019870 0.16626 ../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3445218 0.167118../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3313887 0.167272../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3311199 0.167277../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3309168 0.167279../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1882802 0.17196 ../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1874229 0.171972../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1863324 0.171982../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022841 0.172114../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1747213 0.175067../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1743406 0.175084../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1740286 0.175099../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216718 0.183648../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101988 0.184469../../result/log/zipf_1_19 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5227240 0.0827181../../result/log/zipf_1_19 0.4 1
Zipf Optimal Distribution 7662557 0.0867323../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
Offline Clock 1st iteration 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8406465 0.0906164../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8402875 0.0906213../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8401407 0.0906235../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8355243 0.0906845../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8350256 0.0906917../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8347871 0.0906953../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5449365 0.0948911../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5448824 0.0948916../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5447047 0.0948944../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5433646 0.0949202../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5433109 0.094921 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5432704 0.0949214../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4025183 0.0976775../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3765171 0.0984136../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3763831 0.0984161../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3763446 0.0984165../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3728076 0.0984957../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3727412 0.0984974../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3726882 0.0984986../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2086051 0.103083 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1811701 0.104391 ../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1811005 0.104394 ../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1810195 0.104396 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1794046 0.104439 ../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1793392 0.104442 ../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1792436 0.104446 ../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1268826 0.106166 ../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 86897 0.113065 ../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 36230 0.113439 ../../result/log/zipf_1_19 0.4 1