Zipf1 Models that use ObjID vs Model that does not Test Data Result Obj Size Ignored

Result

Model Summaries

Model	Better than base % of the times
LR_7[cache_size=0.01,treshold=0.3]	0
LR_7[cache_size=0.01,treshold=0.5]	0
LR_7[cache_size=0.01,treshold=0.6]	0
LR_7[cache_size=0.01,treshold=0.7]	0
LR_7[cache_size=0.01,treshold=0.8]	100
LR_7[cache_size=0.01,treshold=0.9]	100
LR_7_id[cache_size=0.01,treshold=0.3]	0
LR_7_id[cache_size=0.01,treshold=0.5]	0
LR_7_id[cache_size=0.01,treshold=0.6]	0
LR_7_id[cache_size=0.01,treshold=0.7]	0
LR_7_id[cache_size=0.01,treshold=0.8]	100
LR_7_id[cache_size=0.01,treshold=0.9]	100
LR_8[cache_size=0.01,treshold=0.3]	0
LR_8[cache_size=0.01,treshold=0.5]	0
LR_8[cache_size=0.01,treshold=0.6]	0
LR_8[cache_size=0.01,treshold=0.7]	0
LR_8[cache_size=0.01,treshold=0.8]	100
LR_8[cache_size=0.01,treshold=0.9]	100
LR_8_id[cache_size=0.01,treshold=0.3]	0
LR_8_id[cache_size=0.01,treshold=0.5]	0
LR_8_id[cache_size=0.01,treshold=0.6]	0
LR_8_id[cache_size=0.01,treshold=0.7]	0
LR_8_id[cache_size=0.01,treshold=0.8]	100
LR_8_id[cache_size=0.01,treshold=0.9]	100
LR_9[cache_size=0.01,treshold=0.3]	0
LR_9[cache_size=0.01,treshold=0.5]	0
LR_9[cache_size=0.01,treshold=0.6]	0
LR_9[cache_size=0.01,treshold=0.7]	0
LR_9[cache_size=0.01,treshold=0.8]	100
LR_9[cache_size=0.01,treshold=0.9]	100
LR_9_id[cache_size=0.01,treshold=0.3]	0
LR_9_id[cache_size=0.01,treshold=0.5]	0
LR_9_id[cache_size=0.01,treshold=0.6]	0
LR_9_id[cache_size=0.01,treshold=0.7]	0
LR_9_id[cache_size=0.01,treshold=0.8]	100
LR_9_id[cache_size=0.01,treshold=0.9]	100
LR_id[cache_size=0.01,treshold=0.3]	0
LR_id[cache_size=0.01,treshold=0.5]	0
LR_id[cache_size=0.01,treshold=0.6]	0
LR_id[cache_size=0.01,treshold=0.7]	100
LR_id[cache_size=0.01,treshold=0.8]	100
LR_id[cache_size=0.01,treshold=0.9]	100
LR_7[cache_size=0.1,treshold=0.3]	0
LR_7[cache_size=0.1,treshold=0.5]	0
LR_7[cache_size=0.1,treshold=0.6]	0
LR_7[cache_size=0.1,treshold=0.7]	0
LR_7[cache_size=0.1,treshold=0.8]	100
LR_7[cache_size=0.1,treshold=0.9]	0
LR_7_id[cache_size=0.1,treshold=0.3]	0
LR_7_id[cache_size=0.1,treshold=0.5]	0
LR_7_id[cache_size=0.1,treshold=0.6]	0
LR_7_id[cache_size=0.1,treshold=0.7]	100
LR_7_id[cache_size=0.1,treshold=0.8]	100
LR_7_id[cache_size=0.1,treshold=0.9]	100
LR_8[cache_size=0.1,treshold=0.3]	0
LR_8[cache_size=0.1,treshold=0.5]	0
LR_8[cache_size=0.1,treshold=0.6]	0
LR_8[cache_size=0.1,treshold=0.7]	0
LR_8[cache_size=0.1,treshold=0.8]	100
LR_8[cache_size=0.1,treshold=0.9]	0
LR_8_id[cache_size=0.1,treshold=0.3]	0
LR_8_id[cache_size=0.1,treshold=0.5]	0
LR_8_id[cache_size=0.1,treshold=0.6]	0
LR_8_id[cache_size=0.1,treshold=0.7]	100
LR_8_id[cache_size=0.1,treshold=0.8]	100
LR_8_id[cache_size=0.1,treshold=0.9]	100
LR_9[cache_size=0.1,treshold=0.3]	0
LR_9[cache_size=0.1,treshold=0.5]	0
LR_9[cache_size=0.1,treshold=0.6]	0
LR_9[cache_size=0.1,treshold=0.7]	0
LR_9[cache_size=0.1,treshold=0.8]	100
LR_9[cache_size=0.1,treshold=0.9]	0
LR_9_id[cache_size=0.1,treshold=0.3]	0
LR_9_id[cache_size=0.1,treshold=0.5]	0
LR_9_id[cache_size=0.1,treshold=0.6]	0
LR_9_id[cache_size=0.1,treshold=0.7]	100
LR_9_id[cache_size=0.1,treshold=0.8]	100
LR_9_id[cache_size=0.1,treshold=0.9]	100
LR_id[cache_size=0.1,treshold=0.3]	0
LR_id[cache_size=0.1,treshold=0.5]	100
LR_id[cache_size=0.1,treshold=0.6]	100
LR_id[cache_size=0.1,treshold=0.7]	100
LR_id[cache_size=0.1,treshold=0.8]	100
LR_id[cache_size=0.1,treshold=0.9]	100
LR_7[cache_size=0.2,treshold=0.3]	0
LR_7[cache_size=0.2,treshold=0.5]	0
LR_7[cache_size=0.2,treshold=0.6]	0
LR_7[cache_size=0.2,treshold=0.7]	0
LR_7[cache_size=0.2,treshold=0.8]	0
LR_7[cache_size=0.2,treshold=0.9]	0
LR_7_id[cache_size=0.2,treshold=0.3]	0
LR_7_id[cache_size=0.2,treshold=0.5]	0
LR_7_id[cache_size=0.2,treshold=0.6]	0
LR_7_id[cache_size=0.2,treshold=0.7]	100
LR_7_id[cache_size=0.2,treshold=0.8]	100
LR_7_id[cache_size=0.2,treshold=0.9]	100
LR_8[cache_size=0.2,treshold=0.3]	0
LR_8[cache_size=0.2,treshold=0.5]	0
LR_8[cache_size=0.2,treshold=0.6]	0
LR_8[cache_size=0.2,treshold=0.7]	0
LR_8[cache_size=0.2,treshold=0.8]	0
LR_8[cache_size=0.2,treshold=0.9]	0
LR_8_id[cache_size=0.2,treshold=0.3]	0
LR_8_id[cache_size=0.2,treshold=0.5]	0
LR_8_id[cache_size=0.2,treshold=0.6]	0
LR_8_id[cache_size=0.2,treshold=0.7]	100
LR_8_id[cache_size=0.2,treshold=0.8]	100
LR_8_id[cache_size=0.2,treshold=0.9]	100
LR_9[cache_size=0.2,treshold=0.3]	0
LR_9[cache_size=0.2,treshold=0.5]	0
LR_9[cache_size=0.2,treshold=0.6]	0
LR_9[cache_size=0.2,treshold=0.7]	0
LR_9[cache_size=0.2,treshold=0.8]	0
LR_9[cache_size=0.2,treshold=0.9]	0
LR_9_id[cache_size=0.2,treshold=0.3]	0
LR_9_id[cache_size=0.2,treshold=0.5]	0
LR_9_id[cache_size=0.2,treshold=0.6]	0
LR_9_id[cache_size=0.2,treshold=0.7]	100
LR_9_id[cache_size=0.2,treshold=0.8]	100
LR_9_id[cache_size=0.2,treshold=0.9]	100
LR_id[cache_size=0.2,treshold=0.3]	0
LR_id[cache_size=0.2,treshold=0.5]	100
LR_id[cache_size=0.2,treshold=0.6]	100
LR_id[cache_size=0.2,treshold=0.7]	100
LR_id[cache_size=0.2,treshold=0.8]	100
LR_id[cache_size=0.2,treshold=0.9]	100
LR_7[cache_size=0.4,treshold=0.3]	0
LR_7[cache_size=0.4,treshold=0.5]	0
LR_7[cache_size=0.4,treshold=0.6]	0
LR_7[cache_size=0.4,treshold=0.7]	0
LR_7[cache_size=0.4,treshold=0.8]	0
LR_7[cache_size=0.4,treshold=0.9]	0
LR_7_id[cache_size=0.4,treshold=0.3]	0
LR_7_id[cache_size=0.4,treshold=0.5]	0
LR_7_id[cache_size=0.4,treshold=0.6]	100
LR_7_id[cache_size=0.4,treshold=0.7]	100
LR_7_id[cache_size=0.4,treshold=0.8]	100
LR_7_id[cache_size=0.4,treshold=0.9]	100
LR_8[cache_size=0.4,treshold=0.3]	0
LR_8[cache_size=0.4,treshold=0.5]	0
LR_8[cache_size=0.4,treshold=0.6]	0
LR_8[cache_size=0.4,treshold=0.7]	0
LR_8[cache_size=0.4,treshold=0.8]	0
LR_8[cache_size=0.4,treshold=0.9]	0
LR_8_id[cache_size=0.4,treshold=0.3]	0
LR_8_id[cache_size=0.4,treshold=0.5]	0
LR_8_id[cache_size=0.4,treshold=0.6]	100
LR_8_id[cache_size=0.4,treshold=0.7]	100
LR_8_id[cache_size=0.4,treshold=0.8]	100
LR_8_id[cache_size=0.4,treshold=0.9]	100
LR_9[cache_size=0.4,treshold=0.3]	0
LR_9[cache_size=0.4,treshold=0.5]	0
LR_9[cache_size=0.4,treshold=0.6]	0
LR_9[cache_size=0.4,treshold=0.7]	0
LR_9[cache_size=0.4,treshold=0.8]	0
LR_9[cache_size=0.4,treshold=0.9]	0
LR_9_id[cache_size=0.4,treshold=0.3]	0
LR_9_id[cache_size=0.4,treshold=0.5]	0
LR_9_id[cache_size=0.4,treshold=0.6]	100
LR_9_id[cache_size=0.4,treshold=0.7]	100
LR_9_id[cache_size=0.4,treshold=0.8]	100
LR_9_id[cache_size=0.4,treshold=0.9]	100
LR_id[cache_size=0.4,treshold=0.3]	0
LR_id[cache_size=0.4,treshold=0.5]	100
LR_id[cache_size=0.4,treshold=0.6]	100
LR_id[cache_size=0.4,treshold=0.7]	100
LR_id[cache_size=0.4,treshold=0.8]	100
LR_id[cache_size=0.4,treshold=0.9]	100
Offline Clock 1st iteration	0
Offline Clock 2nd iteration	100
Zipf Optimal Distribution	100

Promotion Reduced (%)

Model	Max	Min	Avg	Mdn
LR_7[cache_size=0.01,treshold=0.3]	72.9112	72.8872	72.9017	72.9019
LR_7[cache_size=0.01,treshold=0.5]	58.0835	58.065	58.0713	58.0668
LR_7[cache_size=0.01,treshold=0.6]	46.1366	46.1098	46.1229	46.1218
LR_7[cache_size=0.01,treshold=0.7]	28.7011	28.6634	28.6839	28.6851
LR_7[cache_size=0.01,treshold=0.8]	6.88137	6.86902	6.87683	6.879
LR_7[cache_size=0.01,treshold=0.9]	1.34773	1.34061	1.34513	1.34701
LR_7_id[cache_size=0.01,treshold=0.3]	70.4766	70.4548	70.4701	70.4748
LR_7_id[cache_size=0.01,treshold=0.5]	48.7371	48.712	48.7279	48.7291
LR_7_id[cache_size=0.01,treshold=0.6]	34.9871	34.9557	34.9701	34.9634
LR_7_id[cache_size=0.01,treshold=0.7]	22.9618	22.9286	22.9407	22.9334
LR_7_id[cache_size=0.01,treshold=0.8]	15.2199	15.1914	15.2063	15.2028
LR_7_id[cache_size=0.01,treshold=0.9]	9.87983	9.83756	9.85397	9.84721
LR_8[cache_size=0.01,treshold=0.3]	72.8949	72.8688	72.8854	72.8871
LR_8[cache_size=0.01,treshold=0.5]	58.1436	58.1251	58.1344	58.1308
LR_8[cache_size=0.01,treshold=0.6]	46.3455	46.3178	46.3289	46.3244
LR_8[cache_size=0.01,treshold=0.7]	28.7541	28.7157	28.7362	28.7385
LR_8[cache_size=0.01,treshold=0.8]	6.72185	6.70669	6.71479	6.71621
LR_8[cache_size=0.01,treshold=0.9]	1.36124	1.35674	1.35946	1.35994
LR_8_id[cache_size=0.01,treshold=0.3]	70.5124	70.4844	70.5017	70.506
LR_8_id[cache_size=0.01,treshold=0.5]	48.757	48.7355	48.7494	48.753
LR_8_id[cache_size=0.01,treshold=0.6]	34.8832	34.855	34.8694	34.8663
LR_8_id[cache_size=0.01,treshold=0.7]	22.8956	22.8641	22.8741	22.8659
LR_8_id[cache_size=0.01,treshold=0.8]	15.2044	15.1773	15.1912	15.1877
LR_8_id[cache_size=0.01,treshold=0.9]	9.88358	9.84083	9.85818	9.85241
LR_9[cache_size=0.01,treshold=0.3]	72.8692	72.8397	72.8569	72.8571
LR_9[cache_size=0.01,treshold=0.5]	58.3317	58.3163	58.3231	58.3185
LR_9[cache_size=0.01,treshold=0.6]	46.592	46.5631	46.5781	46.5806
LR_9[cache_size=0.01,treshold=0.7]	28.6895	28.6544	28.6731	28.6736
LR_9[cache_size=0.01,treshold=0.8]	6.40022	6.38711	6.39412	6.39562
LR_9[cache_size=0.01,treshold=0.9]	1.35214	1.34658	1.34921	1.34993
LR_9_id[cache_size=0.01,treshold=0.3]	70.5873	70.5618	70.5777	70.5787
LR_9_id[cache_size=0.01,treshold=0.5]	48.7327	48.7094	48.7249	48.7273
LR_9_id[cache_size=0.01,treshold=0.6]	34.6955	34.6667	34.6808	34.6826
LR_9_id[cache_size=0.01,treshold=0.7]	22.7938	22.7599	22.7714	22.7619
LR_9_id[cache_size=0.01,treshold=0.8]	15.1863	15.1586	15.1723	15.1701
LR_9_id[cache_size=0.01,treshold=0.9]	9.89598	9.85221	9.86908	9.86369
LR_id[cache_size=0.01,treshold=0.3]	67.5719	67.5541	67.564	67.5634
LR_id[cache_size=0.01,treshold=0.5]	32.2969	32.2541	32.2723	32.2721
LR_id[cache_size=0.01,treshold=0.6]	25.2915	25.2496	25.2618	25.2535
LR_id[cache_size=0.01,treshold=0.7]	20.3677	20.3232	20.339	20.3359
LR_id[cache_size=0.01,treshold=0.8]	16.3995	16.3745	16.3887	16.3857
LR_id[cache_size=0.01,treshold=0.9]	12.6771	12.6399	12.6581	12.6583
LR_7[cache_size=0.1,treshold=0.3]	73.4806	73.4522	73.4674	73.4736
LR_7[cache_size=0.1,treshold=0.5]	59.2362	59.1994	59.2233	59.2247
LR_7[cache_size=0.1,treshold=0.6]	47.8454	47.7884	47.822	47.8263
LR_7[cache_size=0.1,treshold=0.7]	30.4491	30.4138	30.4274	30.4225
LR_7[cache_size=0.1,treshold=0.8]	5.21053	5.17244	5.18877	5.18922
LR_7[cache_size=0.1,treshold=0.9]	0.000555101	0.000506297	0.000531545	0.000525669
LR_7_id[cache_size=0.1,treshold=0.3]	71.052	71.0291	71.0385	71.0297
LR_7_id[cache_size=0.1,treshold=0.5]	50.6339	50.555	50.601	50.6118
LR_7_id[cache_size=0.1,treshold=0.6]	36.9321	36.8687	36.896	36.8903
LR_7_id[cache_size=0.1,treshold=0.7]	23.5953	23.5246	23.5533	23.5441
LR_7_id[cache_size=0.1,treshold=0.8]	14.7947	14.7467	14.7701	14.7595
LR_7_id[cache_size=0.1,treshold=0.9]	9.05582	9.02544	9.03969	9.03634
LR_8[cache_size=0.1,treshold=0.3]	73.4806	73.4536	73.4681	73.4754
LR_8[cache_size=0.1,treshold=0.5]	59.2181	59.1829	59.2057	59.2066
LR_8[cache_size=0.1,treshold=0.6]	47.8241	47.7686	47.8003	47.8032
LR_8[cache_size=0.1,treshold=0.7]	30.4397	30.4058	30.4185	30.4119
LR_8[cache_size=0.1,treshold=0.8]	5.23996	5.20562	5.2224	5.22281
LR_8[cache_size=0.1,treshold=0.9]	0.00056484	0.000535507	0.000551015	0.000545138
LR_8_id[cache_size=0.1,treshold=0.3]	71.036	71.0119	71.0216	71.0133
LR_8_id[cache_size=0.1,treshold=0.5]	50.6249	50.5436	50.5903	50.6011
LR_8_id[cache_size=0.1,treshold=0.6]	36.9317	36.8697	36.8964	36.8919
LR_8_id[cache_size=0.1,treshold=0.7]	23.6	23.5286	23.5571	23.5474
LR_8_id[cache_size=0.1,treshold=0.8]	14.7962	14.7477	14.7713	14.7608
LR_8_id[cache_size=0.1,treshold=0.9]	9.05591	9.02577	9.04009	9.03697
LR_9[cache_size=0.1,treshold=0.3]	73.4937	73.4658	73.4809	73.4873
LR_9[cache_size=0.1,treshold=0.5]	59.2617	59.2255	59.249	59.2495
LR_9[cache_size=0.1,treshold=0.6]	47.8607	47.8043	47.8393	47.8454
LR_9[cache_size=0.1,treshold=0.7]	30.4301	30.3941	30.409	30.4056
LR_9[cache_size=0.1,treshold=0.8]	5.12955	5.09796	5.10997	5.11123
LR_9[cache_size=0.1,treshold=0.9]	0.000545034	0.000516034	0.000529597	0.000525669
LR_9_id[cache_size=0.1,treshold=0.3]	71.0591	71.0348	71.0446	71.0358
LR_9_id[cache_size=0.1,treshold=0.5]	50.6152	50.539	50.5837	50.5947
LR_9_id[cache_size=0.1,treshold=0.6]	36.8939	36.8324	36.8594	36.8537
LR_9_id[cache_size=0.1,treshold=0.7]	23.571	23.5006	23.5296	23.5205
LR_9_id[cache_size=0.1,treshold=0.8]	14.7934	14.7459	14.7686	14.7578
LR_9_id[cache_size=0.1,treshold=0.9]	9.06045	9.02917	9.04395	9.0408
LR_id[cache_size=0.1,treshold=0.3]	68.758	68.7426	68.7498	68.7494
LR_id[cache_size=0.1,treshold=0.5]	33.0657	33.0085	33.037	33.0343
LR_id[cache_size=0.1,treshold=0.6]	25.5799	25.5051	25.5405	25.5375
LR_id[cache_size=0.1,treshold=0.7]	20.2831	20.2259	20.2532	20.2478
LR_id[cache_size=0.1,treshold=0.8]	16.021	15.9748	15.9931	15.9815
LR_id[cache_size=0.1,treshold=0.9]	12.004	11.9661	11.988	11.9846
LR_7[cache_size=0.2,treshold=0.3]	73.8603	73.8424	73.8544	73.856
LR_7[cache_size=0.2,treshold=0.5]	59.3858	59.3529	59.3682	59.3645
LR_7[cache_size=0.2,treshold=0.6]	47.7083	47.6877	47.7012	47.7035
LR_7[cache_size=0.2,treshold=0.7]	29.8396	29.8127	29.8321	29.8348
LR_7[cache_size=0.2,treshold=0.8]	4.69871	4.62173	4.65984	4.66176
LR_7[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_7_id[cache_size=0.2,treshold=0.3]	71.1121	71.0744	71.0982	71.0998
LR_7_id[cache_size=0.2,treshold=0.5]	51.5244	51.498	51.5158	51.5201
LR_7_id[cache_size=0.2,treshold=0.6]	38.1725	38.1474	38.1612	38.1593
LR_7_id[cache_size=0.2,treshold=0.7]	24.311	24.27	24.2932	24.2965
LR_7_id[cache_size=0.2,treshold=0.8]	14.6551	14.6253	14.6428	14.6523
LR_7_id[cache_size=0.2,treshold=0.9]	8.25004	8.21126	8.22748	8.22647
LR_8[cache_size=0.2,treshold=0.3]	73.8387	73.8212	73.8336	73.836
LR_8[cache_size=0.2,treshold=0.5]	59.3779	59.3451	59.3604	59.3574
LR_8[cache_size=0.2,treshold=0.6]	47.7311	47.7086	47.7239	47.728
LR_8[cache_size=0.2,treshold=0.7]	29.917	29.8913	29.9089	29.9112
LR_8[cache_size=0.2,treshold=0.8]	4.83334	4.74239	4.79185	4.79728
LR_8[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_8_id[cache_size=0.2,treshold=0.3]	71.118	71.0804	71.1035	71.1053
LR_8_id[cache_size=0.2,treshold=0.5]	51.5361	51.5086	51.5261	51.5302
LR_8_id[cache_size=0.2,treshold=0.6]	38.184	38.1598	38.1722	38.1677
LR_8_id[cache_size=0.2,treshold=0.7]	24.309	24.2677	24.2912	24.2952
LR_8_id[cache_size=0.2,treshold=0.8]	14.6441	14.6149	14.6324	14.6425
LR_8_id[cache_size=0.2,treshold=0.9]	8.23822	8.19965	8.21593	8.21468
LR_9[cache_size=0.2,treshold=0.3]	73.8693	73.8515	73.8635	73.8653
LR_9[cache_size=0.2,treshold=0.5]	59.4066	59.3738	59.3893	59.3861
LR_9[cache_size=0.2,treshold=0.6]	47.7398	47.7164	47.7314	47.7346
LR_9[cache_size=0.2,treshold=0.7]	29.8617	29.8352	29.8537	29.8565
LR_9[cache_size=0.2,treshold=0.8]	4.70314	4.62542	4.6636	4.66471
LR_9[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_9_id[cache_size=0.2,treshold=0.3]	71.1289	71.0906	71.1144	71.1161
LR_9_id[cache_size=0.2,treshold=0.5]	51.5331	51.5055	51.524	51.5294
LR_9_id[cache_size=0.2,treshold=0.6]	38.1695	38.1446	38.1582	38.1561
LR_9_id[cache_size=0.2,treshold=0.7]	24.2964	24.2559	24.279	24.2824
LR_9_id[cache_size=0.2,treshold=0.8]	14.642	14.6145	14.631	14.6409
LR_9_id[cache_size=0.2,treshold=0.9]	8.24034	8.20171	8.21821	8.21678
LR_id[cache_size=0.2,treshold=0.3]	68.983	68.9583	68.9711	68.9722
LR_id[cache_size=0.2,treshold=0.5]	34.0538	34.0322	34.0401	34.0395
LR_id[cache_size=0.2,treshold=0.6]	26.0483	26.0218	26.038	26.0415
LR_id[cache_size=0.2,treshold=0.7]	20.3334	20.2822	20.3176	20.3307
LR_id[cache_size=0.2,treshold=0.8]	15.6345	15.5894	15.6163	15.6231
LR_id[cache_size=0.2,treshold=0.9]	11.2516	11.2083	11.2311	11.2324
LR_7[cache_size=0.4,treshold=0.3]	74.2504	74.2035	74.2236	74.2211
LR_7[cache_size=0.4,treshold=0.5]	59.5458	59.4938	59.514	59.5067
LR_7[cache_size=0.4,treshold=0.6]	47.1282	47.0439	47.084	47.0885
LR_7[cache_size=0.4,treshold=0.7]	29.0067	28.8549	28.9199	28.9118
LR_7[cache_size=0.4,treshold=0.8]	6.85173	6.80302	6.83317	6.84329
LR_7[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_7_id[cache_size=0.4,treshold=0.3]	71.3111	71.2973	71.3027	71.3027
LR_7_id[cache_size=0.4,treshold=0.5]	53.8065	53.751	53.7721	53.7617
LR_7_id[cache_size=0.4,treshold=0.6]	41.44	41.3888	41.4208	41.4243
LR_7_id[cache_size=0.4,treshold=0.7]	26.7325	26.6742	26.701	26.695
LR_7_id[cache_size=0.4,treshold=0.8]	14.4256	14.3884	14.4066	14.4071
LR_7_id[cache_size=0.4,treshold=0.9]	6.02938	5.98226	6.00012	6.00029
LR_8[cache_size=0.4,treshold=0.3]	74.2465	74.1996	74.2199	74.2175
LR_8[cache_size=0.4,treshold=0.5]	59.5418	59.49	59.5097	59.5021
LR_8[cache_size=0.4,treshold=0.6]	47.1254	47.0407	47.0807	47.0844
LR_8[cache_size=0.4,treshold=0.7]	29.01	28.8569	28.9221	28.9133
LR_8[cache_size=0.4,treshold=0.8]	6.8552	6.80659	6.83671	6.84693
LR_8[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_8_id[cache_size=0.4,treshold=0.3]	71.3049	71.2909	71.2963	71.2965
LR_8_id[cache_size=0.4,treshold=0.5]	53.79	53.7342	53.7552	53.7448
LR_8_id[cache_size=0.4,treshold=0.6]	41.4184	41.3656	41.3991	41.4021
LR_8_id[cache_size=0.4,treshold=0.7]	26.7141	26.6554	26.6826	26.6763
LR_8_id[cache_size=0.4,treshold=0.8]	14.4185	14.3823	14.4004	14.4011
LR_8_id[cache_size=0.4,treshold=0.9]	6.02859	5.98124	5.99889	5.99871
LR_9[cache_size=0.4,treshold=0.3]	74.2536	74.2062	74.2265	74.2239
LR_9[cache_size=0.4,treshold=0.5]	59.5489	59.4975	59.517	59.5096
LR_9[cache_size=0.4,treshold=0.6]	47.1293	47.0449	47.0854	47.09
LR_9[cache_size=0.4,treshold=0.7]	29.0014	28.849	28.9149	28.9077
LR_9[cache_size=0.4,treshold=0.8]	6.845	6.79686	6.82601	6.83324
LR_9[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_9_id[cache_size=0.4,treshold=0.3]	71.3107	71.2961	71.3018	71.3016
LR_9_id[cache_size=0.4,treshold=0.5]	53.7912	53.7356	53.7563	53.7463
LR_9_id[cache_size=0.4,treshold=0.6]	41.4151	41.361	41.3953	41.399
LR_9_id[cache_size=0.4,treshold=0.7]	26.7097	26.6505	26.6774	26.6702
LR_9_id[cache_size=0.4,treshold=0.8]	14.4176	14.381	14.3994	14.4004
LR_9_id[cache_size=0.4,treshold=0.9]	6.02887	5.98173	5.9994	5.99905
LR_id[cache_size=0.4,treshold=0.3]	69.7399	69.7104	69.7274	69.7299
LR_id[cache_size=0.4,treshold=0.5]	37.7798	37.6454	37.6943	37.674
LR_id[cache_size=0.4,treshold=0.6]	28.361	28.2634	28.3126	28.314
LR_id[cache_size=0.4,treshold=0.7]	21.2947	21.2503	21.2656	21.2584
LR_id[cache_size=0.4,treshold=0.8]	15.1951	15.1541	15.1738	15.1759
LR_id[cache_size=0.4,treshold=0.9]	9.50518	9.49095	9.49727	9.4979
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[cache_size=0.01,treshold=0.3]	-5.65544	-5.67042	-5.65936	-5.65663
LR_7[cache_size=0.01,treshold=0.5]	-3.68557	-3.70064	-3.69388	-3.69557
LR_7[cache_size=0.01,treshold=0.6]	-2.43525	-2.44784	-2.44125	-2.44002
LR_7[cache_size=0.01,treshold=0.7]	-1.01491	-1.02179	-1.01845	-1.0189
LR_7[cache_size=0.01,treshold=0.8]	0.0698421	0.0666382	0.0684527	0.0693389
LR_7[cache_size=0.01,treshold=0.9]	0.0352876	0.0328255	0.0341523	0.0340449
LR_7_id[cache_size=0.01,treshold=0.3]	-5.16407	-5.17828	-5.168	-5.16634
LR_7_id[cache_size=0.01,treshold=0.5]	-2.30003	-2.31383	-2.30651	-2.30677
LR_7_id[cache_size=0.01,treshold=0.6]	-0.941757	-0.951445	-0.945456	-0.944868
LR_7_id[cache_size=0.01,treshold=0.7]	-0.128825	-0.134453	-0.130687	-0.130068
LR_7_id[cache_size=0.01,treshold=0.8]	0.135735	0.130012	0.133204	0.133523
LR_7_id[cache_size=0.01,treshold=0.9]	0.19001	0.18774	0.188923	0.188808
LR_8[cache_size=0.01,treshold=0.3]	-5.65494	-5.67042	-5.65912	-5.65639
LR_8[cache_size=0.01,treshold=0.5]	-3.6952	-3.71076	-3.7035	-3.70497
LR_8[cache_size=0.01,treshold=0.6]	-2.44932	-2.46166	-2.45566	-2.45458
LR_8[cache_size=0.01,treshold=0.7]	-1.01111	-1.01808	-1.0144	-1.01446
LR_8[cache_size=0.01,treshold=0.8]	0.0767522	0.0742574	0.0754115	0.0752611
LR_8[cache_size=0.01,treshold=0.9]	0.0357811	0.0335659	0.0346951	0.034785
LR_8_id[cache_size=0.01,treshold=0.3]	-5.17179	-5.18643	-5.17555	-5.17349
LR_8_id[cache_size=0.01,treshold=0.5]	-2.29953	-2.31309	-2.30582	-2.30578
LR_8_id[cache_size=0.01,treshold=0.6]	-0.927196	-0.937131	-0.931193	-0.931295
LR_8_id[cache_size=0.01,treshold=0.7]	-0.123379	-0.129025	-0.125406	-0.125379
LR_8_id[cache_size=0.01,treshold=0.8]	0.136723	0.130752	0.134043	0.13451
LR_8_id[cache_size=0.01,treshold=0.9]	0.19003	0.18774	0.188973	0.189055
LR_9[cache_size=0.01,treshold=0.3]	-5.6581	-5.67239	-5.66163	-5.65865
LR_9[cache_size=0.01,treshold=0.5]	-3.71543	-3.73001	-3.72275	-3.72372
LR_9[cache_size=0.01,treshold=0.6]	-2.46486	-2.47598	-2.47012	-2.46815
LR_9[cache_size=0.01,treshold=0.7]	-0.994186	-1.00229	-0.998066	-0.998416
LR_9[cache_size=0.01,treshold=0.8]	0.0846408	0.0816584	0.0833573	0.0836508
LR_9[cache_size=0.01,treshold=0.9]	0.0357811	0.0335659	0.0346458	0.0345383
LR_9_id[cache_size=0.01,treshold=0.3]	-5.18586	-5.20025	-5.18947	-5.18756
LR_9_id[cache_size=0.01,treshold=0.5]	-2.28991	-2.30321	-2.29645	-2.29665
LR_9_id[cache_size=0.01,treshold=0.6]	-0.90227	-0.911463	-0.905974	-0.906372
LR_9_id[cache_size=0.01,treshold=0.7]	-0.115483	-0.121131	-0.117361	-0.116987
LR_9_id[cache_size=0.01,treshold=0.8]	0.137463	0.131492	0.134931	0.135744
LR_9_id[cache_size=0.01,treshold=0.9]	0.19003	0.187987	0.189072	0.189055
LR_id[cache_size=0.01,treshold=0.3]	-4.50651	-4.52103	-4.51092	-4.50965
LR_id[cache_size=0.01,treshold=0.5]	-0.577986	-0.58691	-0.583057	-0.584438
LR_id[cache_size=0.01,treshold=0.6]	-0.174235	-0.180833	-0.177572	-0.177172
LR_id[cache_size=0.01,treshold=0.7]	0.0266535	0.0194895	0.0229494	0.0229532
LR_id[cache_size=0.01,treshold=0.8]	0.133021	0.125818	0.129996	0.130808
LR_id[cache_size=0.01,treshold=0.9]	0.187327	0.182806	0.185814	0.186796
LR_7[cache_size=0.1,treshold=0.3]	-8.14738	-8.16586	-8.15211	-8.14887
LR_7[cache_size=0.1,treshold=0.5]	-5.06395	-5.07163	-5.06717	-5.06612
LR_7[cache_size=0.1,treshold=0.6]	-3.21156	-3.22139	-3.21605	-3.21626
LR_7[cache_size=0.1,treshold=0.7]	-1.21318	-1.22114	-1.21774	-1.21703
LR_7[cache_size=0.1,treshold=0.8]	0.107101	0.100055	0.104549	0.104761
LR_7[cache_size=0.1,treshold=0.9]	0	-0.000467681	-0.000280511	-0.000467327
LR_7_id[cache_size=0.1,treshold=0.3]	-7.28682	-7.30578	-7.29356	-7.29161
LR_7_id[cache_size=0.1,treshold=0.5]	-2.83415	-2.84917	-2.84237	-2.84269
LR_7_id[cache_size=0.1,treshold=0.6]	-0.696845	-0.706563	-0.701918	-0.702392
LR_7_id[cache_size=0.1,treshold=0.7]	0.63559	0.61912	0.626827	0.625751
LR_7_id[cache_size=0.1,treshold=0.8]	0.881127	0.871565	0.875575	0.873501
LR_7_id[cache_size=0.1,treshold=0.9]	0.741756	0.733685	0.736986	0.737442
LR_8[cache_size=0.1,treshold=0.3]	-8.14691	-8.16539	-8.15183	-8.14887
LR_8[cache_size=0.1,treshold=0.5]	-5.06255	-5.07022	-5.06567	-5.06472
LR_8[cache_size=0.1,treshold=0.6]	-3.2111	-3.21998	-3.21493	-3.21486
LR_8[cache_size=0.1,treshold=0.7]	-1.21458	-1.22254	-1.21887	-1.21796
LR_8[cache_size=0.1,treshold=0.8]	0.106633	0.100055	0.104268	0.104761
LR_8[cache_size=0.1,treshold=0.9]	0	-0.000467681	-0.000280511	-0.000467327
LR_8_id[cache_size=0.1,treshold=0.3]	-7.28214	-7.3011	-7.28869	-7.286
LR_8_id[cache_size=0.1,treshold=0.5]	-2.83321	-2.8487	-2.84162	-2.84175
LR_8_id[cache_size=0.1,treshold=0.6]	-0.698248	-0.708901	-0.703788	-0.704262
LR_8_id[cache_size=0.1,treshold=0.7]	0.634187	0.617717	0.625518	0.624349
LR_8_id[cache_size=0.1,treshold=0.8]	0.88066	0.871097	0.875108	0.873034
LR_8_id[cache_size=0.1,treshold=0.9]	0.742223	0.733217	0.736893	0.737065
LR_9[cache_size=0.1,treshold=0.3]	-8.15076	-8.1696	-8.15595	-8.15308
LR_9[cache_size=0.1,treshold=0.5]	-5.06676	-5.07443	-5.07025	-5.06939
LR_9[cache_size=0.1,treshold=0.6]	-3.2111	-3.22045	-3.21558	-3.21626
LR_9[cache_size=0.1,treshold=0.7]	-1.20897	-1.21693	-1.21354	-1.21329
LR_9[cache_size=0.1,treshold=0.8]	0.10842	0.101458	0.105765	0.106164
LR_9[cache_size=0.1,treshold=0.9]	0	-0.000467681	-0.000280511	-0.000467327
LR_9_id[cache_size=0.1,treshold=0.3]	-7.28728	-7.30672	-7.29402	-7.29208
LR_9_id[cache_size=0.1,treshold=0.5]	-2.82947	-2.84402	-2.83713	-2.83755
LR_9_id[cache_size=0.1,treshold=0.6]	-0.690765	-0.700017	-0.695653	-0.696317
LR_9_id[cache_size=0.1,treshold=0.7]	0.636993	0.62099	0.628323	0.62762
LR_9_id[cache_size=0.1,treshold=0.8]	0.881127	0.871565	0.875482	0.873501
LR_9_id[cache_size=0.1,treshold=0.9]	0.742223	0.733685	0.737174	0.737442
LR_id[cache_size=0.1,treshold=0.3]	-6.19167	-6.21139	-6.19888	-6.19818
LR_id[cache_size=0.1,treshold=0.5]	0.197833	0.183772	0.191986	0.191227
LR_id[cache_size=0.1,treshold=0.6]	0.730531	0.71498	0.722305	0.720696
LR_id[cache_size=0.1,treshold=0.7]	0.916204	0.906833	0.910268	0.909847
LR_id[cache_size=0.1,treshold=0.8]	0.945668	0.938032	0.94197	0.940729
LR_id[cache_size=0.1,treshold=0.9]	0.875515	0.86543	0.871647	0.872499
LR_7[cache_size=0.2,treshold=0.3]	-9.1235	-9.12733	-9.12527	-9.12554
LR_7[cache_size=0.2,treshold=0.5]	-5.35066	-5.36681	-5.35865	-5.35646
LR_7[cache_size=0.2,treshold=0.6]	-3.21367	-3.23579	-3.22569	-3.22357
LR_7[cache_size=0.2,treshold=0.7]	-1.10015	-1.11492	-1.10608	-1.10351
LR_7[cache_size=0.2,treshold=0.8]	-0.00981444	-0.0124422	-0.0117823	-0.0124353
LR_7[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_7_id[cache_size=0.2,treshold=0.3]	-7.86907	-7.87808	-7.87335	-7.87185
LR_7_id[cache_size=0.2,treshold=0.5]	-2.6534	-2.66377	-2.65949	-2.6599
LR_7_id[cache_size=0.2,treshold=0.6]	-0.183857	-0.192427	-0.189169	-0.190456
LR_7_id[cache_size=0.2,treshold=0.7]	1.39222	1.3786	1.38663	1.38757
LR_7_id[cache_size=0.2,treshold=0.8]	1.55331	1.54043	1.54726	1.54793
LR_7_id[cache_size=0.2,treshold=0.9]	1.14998	1.14304	1.14522	1.14405
LR_8[cache_size=0.2,treshold=0.3]	-9.11762	-9.12144	-9.11951	-9.11965
LR_8[cache_size=0.2,treshold=0.5]	-5.35066	-5.36615	-5.35839	-5.35581
LR_8[cache_size=0.2,treshold=0.6]	-3.2189	-3.24168	-3.23092	-3.22881
LR_8[cache_size=0.2,treshold=0.7]	-1.10932	-1.12212	-1.1142	-1.11202
LR_8[cache_size=0.2,treshold=0.8]	-0.011123	-0.0130933	-0.012175	-0.0124358
LR_8[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_8_id[cache_size=0.2,treshold=0.3]	-7.87169	-7.8807	-7.87597	-7.87446
LR_8_id[cache_size=0.2,treshold=0.5]	-2.65667	-2.66835	-2.66316	-2.66364
LR_8_id[cache_size=0.2,treshold=0.6]	-0.187129	-0.1957	-0.192704	-0.194383
LR_8_id[cache_size=0.2,treshold=0.7]	1.39222	1.37795	1.3861	1.38692
LR_8_id[cache_size=0.2,treshold=0.8]	1.55266	1.54043	1.5466	1.54727
LR_8_id[cache_size=0.2,treshold=0.9]	1.14933	1.14173	1.14405	1.14274
LR_9[cache_size=0.2,treshold=0.3]	-9.12612	-9.12995	-9.12815	-9.12816
LR_9[cache_size=0.2,treshold=0.5]	-5.35393	-5.37008	-5.36205	-5.35997
LR_9[cache_size=0.2,treshold=0.6]	-3.21628	-3.23907	-3.22844	-3.22619
LR_9[cache_size=0.2,treshold=0.7]	-1.10146	-1.11623	-1.10778	-1.10548
LR_9[cache_size=0.2,treshold=0.8]	-0.0104687	-0.0130971	-0.0124369	-0.0130898
LR_9[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_9_id[cache_size=0.2,treshold=0.3]	-7.87496	-7.88332	-7.87872	-7.87708
LR_9_id[cache_size=0.2,treshold=0.5]	-2.65406	-2.66508	-2.66041	-2.66102
LR_9_id[cache_size=0.2,treshold=0.6]	-0.182549	-0.191162	-0.188253	-0.189802
LR_9_id[cache_size=0.2,treshold=0.7]	1.39353	1.37926	1.38781	1.38888
LR_9_id[cache_size=0.2,treshold=0.8]	1.55266	1.54043	1.5466	1.54727
LR_9_id[cache_size=0.2,treshold=0.9]	1.14933	1.14173	1.14444	1.14339
LR_id[cache_size=0.2,treshold=0.3]	-6.38397	-6.39149	-6.38736	-6.38585
LR_id[cache_size=0.2,treshold=0.5]	1.1568	1.14894	1.15242	1.15195
LR_id[cache_size=0.2,treshold=0.6]	1.70786	1.69427	1.70173	1.70239
LR_id[cache_size=0.2,treshold=0.7]	1.81329	1.79574	1.80345	1.8045
LR_id[cache_size=0.2,treshold=0.8]	1.70982	1.69266	1.69951	1.69781
LR_id[cache_size=0.2,treshold=0.9]	1.44788	1.43306	1.43978	1.43726
LR_7[cache_size=0.4,treshold=0.3]	-9.49325	-9.54149	-9.51692	-9.51555
LR_7[cache_size=0.4,treshold=0.5]	-5.12316	-5.18121	-5.15563	-5.15518
LR_7[cache_size=0.4,treshold=0.6]	-2.91977	-2.98173	-2.9458	-2.94612
LR_7[cache_size=0.4,treshold=0.7]	-1.04431	-1.06864	-1.05688	-1.0552
LR_7[cache_size=0.4,treshold=0.8]	-0.134606	-0.159964	-0.150485	-0.157828
LR_7[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_7_id[cache_size=0.4,treshold=0.3]	-7.59031	-7.64869	-7.61611	-7.61137
LR_7_id[cache_size=0.4,treshold=0.5]	-1.7667	-1.83004	-1.79952	-1.79585
LR_7_id[cache_size=0.4,treshold=0.6]	1.00865	0.951586	0.982041	0.983666
LR_7_id[cache_size=0.4,treshold=0.7]	2.885	2.84918	2.86243	2.8603
LR_7_id[cache_size=0.4,treshold=0.8]	2.73469	2.70326	2.71871	2.71648
LR_7_id[cache_size=0.4,treshold=0.9]	1.47275	1.45433	1.46468	1.46673
LR_8[cache_size=0.4,treshold=0.3]	-9.49247	-9.54104	-9.51637	-9.51499
LR_8[cache_size=0.4,treshold=0.5]	-5.12417	-5.18121	-5.15596	-5.15551
LR_8[cache_size=0.4,treshold=0.6]	-2.91977	-2.98195	-2.94584	-2.94589
LR_8[cache_size=0.4,treshold=0.7]	-1.0442	-1.06819	-1.05682	-1.05498
LR_8[cache_size=0.4,treshold=0.8]	-0.134829	-0.159852	-0.150596	-0.158051
LR_8[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_8_id[cache_size=0.4,treshold=0.3]	-7.58696	-7.64635	-7.61319	-7.60825
LR_8_id[cache_size=0.4,treshold=0.5]	-1.75946	-1.8238	-1.79316	-1.78961
LR_8_id[cache_size=0.4,treshold=0.6]	1.01645	0.958274	0.98913	0.991689
LR_8_id[cache_size=0.4,treshold=0.7]	2.88712	2.85253	2.86549	2.86331
LR_8_id[cache_size=0.4,treshold=0.8]	2.73446	2.70303	2.71868	2.71648
LR_8_id[cache_size=0.4,treshold=0.9]	1.47231	1.45377	1.46435	1.46684
LR_9[cache_size=0.4,treshold=0.3]	-9.4938	-9.54238	-9.51777	-9.51655
LR_9[cache_size=0.4,treshold=0.5]	-5.12361	-5.18166	-5.15587	-5.15506
LR_9[cache_size=0.4,treshold=0.6]	-2.91966	-2.98184	-2.94555	-2.94567
LR_9[cache_size=0.4,treshold=0.7]	-1.04398	-1.06864	-1.05666	-1.05476
LR_9[cache_size=0.4,treshold=0.8]	-0.13416	-0.159964	-0.150239	-0.157605
LR_9[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_9_id[cache_size=0.4,treshold=0.3]	-7.58819	-7.64769	-7.61446	-7.60959
LR_9_id[cache_size=0.4,treshold=0.5]	-1.75801	-1.82235	-1.79156	-1.78827
LR_9_id[cache_size=0.4,treshold=0.6]	1.01902	0.961061	0.991783	0.994697
LR_9_id[cache_size=0.4,treshold=0.7]	2.88924	2.85398	2.86714	2.86409
LR_9_id[cache_size=0.4,treshold=0.8]	2.73469	2.70303	2.71891	2.71648
LR_9_id[cache_size=0.4,treshold=0.9]	1.47275	1.45388	1.46459	1.46695
LR_id[cache_size=0.4,treshold=0.3]	-5.38892	-5.44431	-5.42012	-5.42371
LR_id[cache_size=0.4,treshold=0.5]	3.31501	3.26143	3.28269	3.28171
LR_id[cache_size=0.4,treshold=0.6]	3.85722	3.81883	3.83649	3.83623
LR_id[cache_size=0.4,treshold=0.7]	3.6952	3.65083	3.67045	3.66773
LR_id[cache_size=0.4,treshold=0.8]	3.15277	3.11004	3.13165	3.13272
LR_id[cache_size=0.4,treshold=0.9]	2.26368	2.23932	2.24621	2.24328
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 (%)
LR_id[cache_size=0.4,treshold=0.6]	28.3126	3.83649
LR_id[cache_size=0.4,treshold=0.7]	21.2656	3.67045
LR_id[cache_size=0.4,treshold=0.5]	37.6943	3.28269
LR_id[cache_size=0.4,treshold=0.8]	15.1738	3.13165
LR_9_id[cache_size=0.4,treshold=0.7]	26.6774	2.86714
LR_8_id[cache_size=0.4,treshold=0.7]	26.6826	2.86549
LR_7_id[cache_size=0.4,treshold=0.7]	26.701	2.86243
Offline Clock 2nd iteration	42.6567	2.73498
LR_9_id[cache_size=0.4,treshold=0.8]	14.3994	2.71891
LR_7_id[cache_size=0.4,treshold=0.8]	14.4066	2.71871
LR_8_id[cache_size=0.4,treshold=0.8]	14.4004	2.71868
LR_id[cache_size=0.4,treshold=0.9]	9.49727	2.24621
LR_id[cache_size=0.2,treshold=0.7]	20.3176	1.80345
LR_id[cache_size=0.2,treshold=0.6]	26.038	1.70173
LR_id[cache_size=0.2,treshold=0.8]	15.6163	1.69951
LR_7_id[cache_size=0.2,treshold=0.8]	14.6428	1.54726
LR_8_id[cache_size=0.2,treshold=0.8]	14.6324	1.5466
LR_9_id[cache_size=0.2,treshold=0.8]	14.631	1.5466
LR_7_id[cache_size=0.4,treshold=0.9]	6.00012	1.46468
LR_9_id[cache_size=0.4,treshold=0.9]	5.9994	1.46459
LR_8_id[cache_size=0.4,treshold=0.9]	5.99889	1.46435
LR_id[cache_size=0.2,treshold=0.9]	11.2311	1.43978
LR_9_id[cache_size=0.2,treshold=0.7]	24.279	1.38781
LR_7_id[cache_size=0.2,treshold=0.7]	24.2932	1.38663
LR_8_id[cache_size=0.2,treshold=0.7]	24.2912	1.3861
Zipf Optimal Distribution	12.1282	1.23463
LR_id[cache_size=0.2,treshold=0.5]	34.0401	1.15242
LR_7_id[cache_size=0.2,treshold=0.9]	8.22748	1.14522
LR_9_id[cache_size=0.2,treshold=0.9]	8.21821	1.14444
LR_8_id[cache_size=0.2,treshold=0.9]	8.21593	1.14405
LR_9_id[cache_size=0.4,treshold=0.6]	41.3953	0.991783
LR_8_id[cache_size=0.4,treshold=0.6]	41.3991	0.98913
LR_7_id[cache_size=0.4,treshold=0.6]	41.4208	0.982041
LR_id[cache_size=0.1,treshold=0.8]	15.9931	0.94197
LR_id[cache_size=0.1,treshold=0.7]	20.2532	0.910268
LR_7_id[cache_size=0.1,treshold=0.8]	14.7701	0.875575
LR_9_id[cache_size=0.1,treshold=0.8]	14.7686	0.875482
LR_8_id[cache_size=0.1,treshold=0.8]	14.7713	0.875108
LR_id[cache_size=0.1,treshold=0.9]	11.988	0.871647
LR_9_id[cache_size=0.1,treshold=0.9]	9.04395	0.737174
LR_7_id[cache_size=0.1,treshold=0.9]	9.03969	0.736986
LR_8_id[cache_size=0.1,treshold=0.9]	9.04009	0.736893
LR_id[cache_size=0.1,treshold=0.6]	25.5405	0.722305
LR_9_id[cache_size=0.1,treshold=0.7]	23.5296	0.628323
LR_7_id[cache_size=0.1,treshold=0.7]	23.5533	0.626827
LR_8_id[cache_size=0.1,treshold=0.7]	23.5571	0.625518
LR_id[cache_size=0.1,treshold=0.5]	33.037	0.191986
LR_9_id[cache_size=0.01,treshold=0.9]	9.86908	0.189072
LR_8_id[cache_size=0.01,treshold=0.9]	9.85818	0.188973
LR_7_id[cache_size=0.01,treshold=0.9]	9.85397	0.188923
LR_id[cache_size=0.01,treshold=0.9]	12.6581	0.185814
LR_9_id[cache_size=0.01,treshold=0.8]	15.1723	0.134931
LR_8_id[cache_size=0.01,treshold=0.8]	15.1912	0.134043
LR_7_id[cache_size=0.01,treshold=0.8]	15.2063	0.133204
LR_id[cache_size=0.01,treshold=0.8]	16.3887	0.129996
LR_9[cache_size=0.1,treshold=0.8]	5.10997	0.105765
LR_7[cache_size=0.1,treshold=0.8]	5.18877	0.104549
LR_8[cache_size=0.1,treshold=0.8]	5.2224	0.104268
LR_9[cache_size=0.01,treshold=0.8]	6.39412	0.0833573
LR_8[cache_size=0.01,treshold=0.8]	6.71479	0.0754115
LR_7[cache_size=0.01,treshold=0.8]	6.87683	0.0684527
LR_8[cache_size=0.01,treshold=0.9]	1.35946	0.0346951
LR_9[cache_size=0.01,treshold=0.9]	1.34921	0.0346458
LR_7[cache_size=0.01,treshold=0.9]	1.34513	0.0341523
LR_id[cache_size=0.01,treshold=0.7]	20.339	0.0229494
LR_8[cache_size=0.4,treshold=0.9]	0	0
LR_8[cache_size=0.2,treshold=0.9]	0	0
LR_9[cache_size=0.2,treshold=0.9]	0	0
LR_9[cache_size=0.4,treshold=0.9]	0	0
Offline Clock 1st iteration	0	0
LR_7[cache_size=0.2,treshold=0.9]	0	0
LR_7[cache_size=0.4,treshold=0.9]	0	0
LR_7[cache_size=0.1,treshold=0.9]	0.000531545	-0.000280511
LR_9[cache_size=0.1,treshold=0.9]	0.000529597	-0.000280511
LR_8[cache_size=0.1,treshold=0.9]	0.000551015	-0.000280511
LR_7[cache_size=0.2,treshold=0.8]	4.65984	-0.0117823
LR_8[cache_size=0.2,treshold=0.8]	4.79185	-0.012175
LR_9[cache_size=0.2,treshold=0.8]	4.6636	-0.0124369
LR_9_id[cache_size=0.01,treshold=0.7]	22.7714	-0.117361
LR_8_id[cache_size=0.01,treshold=0.7]	22.8741	-0.125406
LR_7_id[cache_size=0.01,treshold=0.7]	22.9407	-0.130687
LR_9[cache_size=0.4,treshold=0.8]	6.82601	-0.150239
LR_7[cache_size=0.4,treshold=0.8]	6.83317	-0.150485
LR_8[cache_size=0.4,treshold=0.8]	6.83671	-0.150596
LR_id[cache_size=0.01,treshold=0.6]	25.2618	-0.177572
LR_9_id[cache_size=0.2,treshold=0.6]	38.1582	-0.188253
LR_7_id[cache_size=0.2,treshold=0.6]	38.1612	-0.189169
LR_8_id[cache_size=0.2,treshold=0.6]	38.1722	-0.192704
LR_id[cache_size=0.01,treshold=0.5]	32.2723	-0.583057
LR_9_id[cache_size=0.1,treshold=0.6]	36.8594	-0.695653
LR_7_id[cache_size=0.1,treshold=0.6]	36.896	-0.701918
LR_8_id[cache_size=0.1,treshold=0.6]	36.8964	-0.703788
LR_9_id[cache_size=0.01,treshold=0.6]	34.6808	-0.905974
LR_8_id[cache_size=0.01,treshold=0.6]	34.8694	-0.931193
LR_7_id[cache_size=0.01,treshold=0.6]	34.9701	-0.945456
LR_9[cache_size=0.01,treshold=0.7]	28.6731	-0.998066
LR_8[cache_size=0.01,treshold=0.7]	28.7362	-1.0144
LR_7[cache_size=0.01,treshold=0.7]	28.6839	-1.01845
LR_9[cache_size=0.4,treshold=0.7]	28.9149	-1.05666
LR_8[cache_size=0.4,treshold=0.7]	28.9221	-1.05682
LR_7[cache_size=0.4,treshold=0.7]	28.9199	-1.05688
LR_7[cache_size=0.2,treshold=0.7]	29.8321	-1.10608
LR_9[cache_size=0.2,treshold=0.7]	29.8537	-1.10778
LR_8[cache_size=0.2,treshold=0.7]	29.9089	-1.1142
LR_9[cache_size=0.1,treshold=0.7]	30.409	-1.21354
LR_7[cache_size=0.1,treshold=0.7]	30.4274	-1.21774
LR_8[cache_size=0.1,treshold=0.7]	30.4185	-1.21887
LR_9_id[cache_size=0.4,treshold=0.5]	53.7563	-1.79156
LR_8_id[cache_size=0.4,treshold=0.5]	53.7552	-1.79316
LR_7_id[cache_size=0.4,treshold=0.5]	53.7721	-1.79952
LR_9_id[cache_size=0.01,treshold=0.5]	48.7249	-2.29645
LR_8_id[cache_size=0.01,treshold=0.5]	48.7494	-2.30582
LR_7_id[cache_size=0.01,treshold=0.5]	48.7279	-2.30651
LR_7[cache_size=0.01,treshold=0.6]	46.1229	-2.44125
LR_8[cache_size=0.01,treshold=0.6]	46.3289	-2.45566
LR_9[cache_size=0.01,treshold=0.6]	46.5781	-2.47012
LR_7_id[cache_size=0.2,treshold=0.5]	51.5158	-2.65949
LR_9_id[cache_size=0.2,treshold=0.5]	51.524	-2.66041
LR_8_id[cache_size=0.2,treshold=0.5]	51.5261	-2.66316
LR_9_id[cache_size=0.1,treshold=0.5]	50.5837	-2.83713
LR_8_id[cache_size=0.1,treshold=0.5]	50.5903	-2.84162
LR_7_id[cache_size=0.1,treshold=0.5]	50.601	-2.84237
LR_9[cache_size=0.4,treshold=0.6]	47.0854	-2.94555
LR_7[cache_size=0.4,treshold=0.6]	47.084	-2.9458
LR_8[cache_size=0.4,treshold=0.6]	47.0807	-2.94584
LR_8[cache_size=0.1,treshold=0.6]	47.8003	-3.21493
LR_9[cache_size=0.1,treshold=0.6]	47.8393	-3.21558
LR_7[cache_size=0.1,treshold=0.6]	47.822	-3.21605
LR_7[cache_size=0.2,treshold=0.6]	47.7012	-3.22569
LR_9[cache_size=0.2,treshold=0.6]	47.7314	-3.22844
LR_8[cache_size=0.2,treshold=0.6]	47.7239	-3.23092
LR_7[cache_size=0.01,treshold=0.5]	58.0713	-3.69388
LR_8[cache_size=0.01,treshold=0.5]	58.1344	-3.7035
LR_9[cache_size=0.01,treshold=0.5]	58.3231	-3.72275
LR_id[cache_size=0.01,treshold=0.3]	67.564	-4.51092
LR_8[cache_size=0.1,treshold=0.5]	59.2057	-5.06567
LR_7[cache_size=0.1,treshold=0.5]	59.2233	-5.06717
LR_9[cache_size=0.1,treshold=0.5]	59.249	-5.07025
LR_7[cache_size=0.4,treshold=0.5]	59.514	-5.15563
LR_9[cache_size=0.4,treshold=0.5]	59.517	-5.15587
LR_8[cache_size=0.4,treshold=0.5]	59.5097	-5.15596
LR_7_id[cache_size=0.01,treshold=0.3]	70.4701	-5.168
LR_8_id[cache_size=0.01,treshold=0.3]	70.5017	-5.17555
LR_9_id[cache_size=0.01,treshold=0.3]	70.5777	-5.18947
LR_8[cache_size=0.2,treshold=0.5]	59.3604	-5.35839
LR_7[cache_size=0.2,treshold=0.5]	59.3682	-5.35865
LR_9[cache_size=0.2,treshold=0.5]	59.3893	-5.36205
LR_id[cache_size=0.4,treshold=0.3]	69.7274	-5.42012
LR_8[cache_size=0.01,treshold=0.3]	72.8854	-5.65912
LR_7[cache_size=0.01,treshold=0.3]	72.9017	-5.65936
LR_9[cache_size=0.01,treshold=0.3]	72.8569	-5.66163
LR_id[cache_size=0.1,treshold=0.3]	68.7498	-6.19888
LR_id[cache_size=0.2,treshold=0.3]	68.9711	-6.38736
LR_8_id[cache_size=0.1,treshold=0.3]	71.0216	-7.28869
LR_7_id[cache_size=0.1,treshold=0.3]	71.0385	-7.29356
LR_9_id[cache_size=0.1,treshold=0.3]	71.0446	-7.29402
LR_8_id[cache_size=0.4,treshold=0.3]	71.2963	-7.61319
LR_9_id[cache_size=0.4,treshold=0.3]	71.3018	-7.61446
LR_7_id[cache_size=0.4,treshold=0.3]	71.3027	-7.61611
LR_7_id[cache_size=0.2,treshold=0.3]	71.0982	-7.87335
LR_8_id[cache_size=0.2,treshold=0.3]	71.1035	-7.87597
LR_9_id[cache_size=0.2,treshold=0.3]	71.1144	-7.87872
LR_8[cache_size=0.1,treshold=0.3]	73.4681	-8.15183
LR_7[cache_size=0.1,treshold=0.3]	73.4674	-8.15211
LR_9[cache_size=0.1,treshold=0.3]	73.4809	-8.15595
LR_8[cache_size=0.2,treshold=0.3]	73.8336	-9.11951
LR_7[cache_size=0.2,treshold=0.3]	73.8544	-9.12527
LR_9[cache_size=0.2,treshold=0.3]	73.8635	-9.12815
LR_8[cache_size=0.4,treshold=0.3]	74.2199	-9.51637
LR_7[cache_size=0.4,treshold=0.3]	74.2236	-9.51692
LR_9[cache_size=0.4,treshold=0.3]	74.2265	-9.51777

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_9_id[cache_size=0.01,treshold=0.9]	9.86908	0.189072
LR_8_id[cache_size=0.01,treshold=0.9]	9.85818	0.188973
LR_7_id[cache_size=0.01,treshold=0.9]	9.85397	0.188923
LR_id[cache_size=0.01,treshold=0.9]	12.6581	0.185814
LR_9_id[cache_size=0.01,treshold=0.8]	15.1723	0.134931
LR_8_id[cache_size=0.01,treshold=0.8]	15.1912	0.134043
LR_7_id[cache_size=0.01,treshold=0.8]	15.2063	0.133204
LR_id[cache_size=0.01,treshold=0.8]	16.3887	0.129996
LR_9[cache_size=0.01,treshold=0.8]	6.39412	0.0833573
LR_8[cache_size=0.01,treshold=0.8]	6.71479	0.0754115
LR_7[cache_size=0.01,treshold=0.8]	6.87683	0.0684527
LR_8[cache_size=0.01,treshold=0.9]	1.35946	0.0346951
LR_9[cache_size=0.01,treshold=0.9]	1.34921	0.0346458
LR_7[cache_size=0.01,treshold=0.9]	1.34513	0.0341523
LR_id[cache_size=0.01,treshold=0.7]	20.339	0.0229494
Offline Clock 1st iteration	0	0
LR_9_id[cache_size=0.01,treshold=0.7]	22.7714	-0.117361
LR_8_id[cache_size=0.01,treshold=0.7]	22.8741	-0.125406
LR_7_id[cache_size=0.01,treshold=0.7]	22.9407	-0.130687
LR_id[cache_size=0.01,treshold=0.6]	25.2618	-0.177572
LR_id[cache_size=0.01,treshold=0.5]	32.2723	-0.583057
LR_9_id[cache_size=0.01,treshold=0.6]	34.6808	-0.905974
LR_8_id[cache_size=0.01,treshold=0.6]	34.8694	-0.931193
LR_7_id[cache_size=0.01,treshold=0.6]	34.9701	-0.945456
LR_9[cache_size=0.01,treshold=0.7]	28.6731	-0.998066
LR_8[cache_size=0.01,treshold=0.7]	28.7362	-1.0144
LR_7[cache_size=0.01,treshold=0.7]	28.6839	-1.01845
LR_9_id[cache_size=0.01,treshold=0.5]	48.7249	-2.29645
LR_8_id[cache_size=0.01,treshold=0.5]	48.7494	-2.30582
LR_7_id[cache_size=0.01,treshold=0.5]	48.7279	-2.30651
LR_7[cache_size=0.01,treshold=0.6]	46.1229	-2.44125
LR_8[cache_size=0.01,treshold=0.6]	46.3289	-2.45566
LR_9[cache_size=0.01,treshold=0.6]	46.5781	-2.47012
LR_7[cache_size=0.01,treshold=0.5]	58.0713	-3.69388
LR_8[cache_size=0.01,treshold=0.5]	58.1344	-3.7035
LR_9[cache_size=0.01,treshold=0.5]	58.3231	-3.72275
LR_id[cache_size=0.01,treshold=0.3]	67.564	-4.51092
LR_7_id[cache_size=0.01,treshold=0.3]	70.4701	-5.168
LR_8_id[cache_size=0.01,treshold=0.3]	70.5017	-5.17555
LR_9_id[cache_size=0.01,treshold=0.3]	70.5777	-5.18947
LR_8[cache_size=0.01,treshold=0.3]	72.8854	-5.65912
LR_7[cache_size=0.01,treshold=0.3]	72.9017	-5.65936
LR_9[cache_size=0.01,treshold=0.3]	72.8569	-5.66163

Cache Size 0.1

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.0216	1.84971
LR_id[cache_size=0.1,treshold=0.8]	15.9931	0.94197
LR_id[cache_size=0.1,treshold=0.7]	20.2532	0.910268
Zipf Optimal Distribution	13.1079	0.901478
LR_7_id[cache_size=0.1,treshold=0.8]	14.7701	0.875575
LR_9_id[cache_size=0.1,treshold=0.8]	14.7686	0.875482
LR_8_id[cache_size=0.1,treshold=0.8]	14.7713	0.875108
LR_id[cache_size=0.1,treshold=0.9]	11.988	0.871647
LR_9_id[cache_size=0.1,treshold=0.9]	9.04395	0.737174
LR_7_id[cache_size=0.1,treshold=0.9]	9.03969	0.736986
LR_8_id[cache_size=0.1,treshold=0.9]	9.04009	0.736893
LR_id[cache_size=0.1,treshold=0.6]	25.5405	0.722305
LR_9_id[cache_size=0.1,treshold=0.7]	23.5296	0.628323
LR_7_id[cache_size=0.1,treshold=0.7]	23.5533	0.626827
LR_8_id[cache_size=0.1,treshold=0.7]	23.5571	0.625518
LR_id[cache_size=0.1,treshold=0.5]	33.037	0.191986
LR_9[cache_size=0.1,treshold=0.8]	5.10997	0.105765
LR_7[cache_size=0.1,treshold=0.8]	5.18877	0.104549
LR_8[cache_size=0.1,treshold=0.8]	5.2224	0.104268
Offline Clock 1st iteration	0	0
LR_8[cache_size=0.1,treshold=0.9]	0.000551015	-0.000280511
LR_7[cache_size=0.1,treshold=0.9]	0.000531545	-0.000280511
LR_9[cache_size=0.1,treshold=0.9]	0.000529597	-0.000280511
LR_9_id[cache_size=0.1,treshold=0.6]	36.8594	-0.695653
LR_7_id[cache_size=0.1,treshold=0.6]	36.896	-0.701918
LR_8_id[cache_size=0.1,treshold=0.6]	36.8964	-0.703788
LR_9[cache_size=0.1,treshold=0.7]	30.409	-1.21354
LR_7[cache_size=0.1,treshold=0.7]	30.4274	-1.21774
LR_8[cache_size=0.1,treshold=0.7]	30.4185	-1.21887
LR_9_id[cache_size=0.1,treshold=0.5]	50.5837	-2.83713
LR_8_id[cache_size=0.1,treshold=0.5]	50.5903	-2.84162
LR_7_id[cache_size=0.1,treshold=0.5]	50.601	-2.84237
LR_8[cache_size=0.1,treshold=0.6]	47.8003	-3.21493
LR_9[cache_size=0.1,treshold=0.6]	47.8393	-3.21558
LR_7[cache_size=0.1,treshold=0.6]	47.822	-3.21605
LR_8[cache_size=0.1,treshold=0.5]	59.2057	-5.06567
LR_7[cache_size=0.1,treshold=0.5]	59.2233	-5.06717
LR_9[cache_size=0.1,treshold=0.5]	59.249	-5.07025
LR_id[cache_size=0.1,treshold=0.3]	68.7498	-6.19888
LR_8_id[cache_size=0.1,treshold=0.3]	71.0216	-7.28869
LR_7_id[cache_size=0.1,treshold=0.3]	71.0385	-7.29356
LR_9_id[cache_size=0.1,treshold=0.3]	71.0446	-7.29402
LR_8[cache_size=0.1,treshold=0.3]	73.4681	-8.15183
LR_7[cache_size=0.1,treshold=0.3]	73.4674	-8.15211
LR_9[cache_size=0.1,treshold=0.3]	73.4809	-8.15595

Cache Size 0.2

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.2203	3.56227
LR_id[cache_size=0.2,treshold=0.7]	20.3176	1.80345
LR_id[cache_size=0.2,treshold=0.6]	26.038	1.70173
LR_id[cache_size=0.2,treshold=0.8]	15.6163	1.69951
Zipf Optimal Distribution	15.0252	1.67385
LR_7_id[cache_size=0.2,treshold=0.8]	14.6428	1.54726
LR_8_id[cache_size=0.2,treshold=0.8]	14.6324	1.5466
LR_9_id[cache_size=0.2,treshold=0.8]	14.631	1.5466
LR_id[cache_size=0.2,treshold=0.9]	11.2311	1.43978
LR_9_id[cache_size=0.2,treshold=0.7]	24.279	1.38781
LR_7_id[cache_size=0.2,treshold=0.7]	24.2932	1.38663
LR_8_id[cache_size=0.2,treshold=0.7]	24.2912	1.3861
LR_id[cache_size=0.2,treshold=0.5]	34.0401	1.15242
LR_7_id[cache_size=0.2,treshold=0.9]	8.22748	1.14522
LR_9_id[cache_size=0.2,treshold=0.9]	8.21821	1.14444
LR_8_id[cache_size=0.2,treshold=0.9]	8.21593	1.14405
LR_7[cache_size=0.2,treshold=0.9]	0	0
Offline Clock 1st iteration	0	0
LR_9[cache_size=0.2,treshold=0.9]	0	0
LR_8[cache_size=0.2,treshold=0.9]	0	0
LR_7[cache_size=0.2,treshold=0.8]	4.65984	-0.0117823
LR_8[cache_size=0.2,treshold=0.8]	4.79185	-0.012175
LR_9[cache_size=0.2,treshold=0.8]	4.6636	-0.0124369
LR_9_id[cache_size=0.2,treshold=0.6]	38.1582	-0.188253
LR_7_id[cache_size=0.2,treshold=0.6]	38.1612	-0.189169
LR_8_id[cache_size=0.2,treshold=0.6]	38.1722	-0.192704
LR_7[cache_size=0.2,treshold=0.7]	29.8321	-1.10608
LR_9[cache_size=0.2,treshold=0.7]	29.8537	-1.10778
LR_8[cache_size=0.2,treshold=0.7]	29.9089	-1.1142
LR_7_id[cache_size=0.2,treshold=0.5]	51.5158	-2.65949
LR_9_id[cache_size=0.2,treshold=0.5]	51.524	-2.66041
LR_8_id[cache_size=0.2,treshold=0.5]	51.5261	-2.66316
LR_7[cache_size=0.2,treshold=0.6]	47.7012	-3.22569
LR_9[cache_size=0.2,treshold=0.6]	47.7314	-3.22844
LR_8[cache_size=0.2,treshold=0.6]	47.7239	-3.23092
LR_8[cache_size=0.2,treshold=0.5]	59.3604	-5.35839
LR_7[cache_size=0.2,treshold=0.5]	59.3682	-5.35865
LR_9[cache_size=0.2,treshold=0.5]	59.3893	-5.36205
LR_id[cache_size=0.2,treshold=0.3]	68.9711	-6.38736
LR_7_id[cache_size=0.2,treshold=0.3]	71.0982	-7.87335
LR_8_id[cache_size=0.2,treshold=0.3]	71.1035	-7.87597
LR_9_id[cache_size=0.2,treshold=0.3]	71.1144	-7.87872
LR_8[cache_size=0.2,treshold=0.3]	73.8336	-9.11951
LR_7[cache_size=0.2,treshold=0.3]	73.8544	-9.12527
LR_9[cache_size=0.2,treshold=0.3]	73.8635	-9.12815

Cache Size 0.4

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.458	7.79849
LR_id[cache_size=0.4,treshold=0.6]	28.3126	3.83649
LR_id[cache_size=0.4,treshold=0.7]	21.2656	3.67045
Zipf Optimal Distribution	17.0787	3.33504
LR_id[cache_size=0.4,treshold=0.5]	37.6943	3.28269
LR_id[cache_size=0.4,treshold=0.8]	15.1738	3.13165
LR_9_id[cache_size=0.4,treshold=0.7]	26.6774	2.86714
LR_8_id[cache_size=0.4,treshold=0.7]	26.6826	2.86549
LR_7_id[cache_size=0.4,treshold=0.7]	26.701	2.86243
LR_9_id[cache_size=0.4,treshold=0.8]	14.3994	2.71891
LR_7_id[cache_size=0.4,treshold=0.8]	14.4066	2.71871
LR_8_id[cache_size=0.4,treshold=0.8]	14.4004	2.71868
LR_id[cache_size=0.4,treshold=0.9]	9.49727	2.24621
LR_7_id[cache_size=0.4,treshold=0.9]	6.00012	1.46468
LR_9_id[cache_size=0.4,treshold=0.9]	5.9994	1.46459
LR_8_id[cache_size=0.4,treshold=0.9]	5.99889	1.46435
LR_9_id[cache_size=0.4,treshold=0.6]	41.3953	0.991783
LR_8_id[cache_size=0.4,treshold=0.6]	41.3991	0.98913
LR_7_id[cache_size=0.4,treshold=0.6]	41.4208	0.982041
Offline Clock 1st iteration	0	0
LR_8[cache_size=0.4,treshold=0.9]	0	0
LR_7[cache_size=0.4,treshold=0.9]	0	0
LR_9[cache_size=0.4,treshold=0.9]	0	0
LR_9[cache_size=0.4,treshold=0.8]	6.82601	-0.150239
LR_7[cache_size=0.4,treshold=0.8]	6.83317	-0.150485
LR_8[cache_size=0.4,treshold=0.8]	6.83671	-0.150596
LR_9[cache_size=0.4,treshold=0.7]	28.9149	-1.05666
LR_8[cache_size=0.4,treshold=0.7]	28.9221	-1.05682
LR_7[cache_size=0.4,treshold=0.7]	28.9199	-1.05688
LR_9_id[cache_size=0.4,treshold=0.5]	53.7563	-1.79156
LR_8_id[cache_size=0.4,treshold=0.5]	53.7552	-1.79316
LR_7_id[cache_size=0.4,treshold=0.5]	53.7721	-1.79952
LR_9[cache_size=0.4,treshold=0.6]	47.0854	-2.94555
LR_7[cache_size=0.4,treshold=0.6]	47.084	-2.9458
LR_8[cache_size=0.4,treshold=0.6]	47.0807	-2.94584
LR_7[cache_size=0.4,treshold=0.5]	59.514	-5.15563
LR_9[cache_size=0.4,treshold=0.5]	59.517	-5.15587
LR_8[cache_size=0.4,treshold=0.5]	59.5097	-5.15596
LR_id[cache_size=0.4,treshold=0.3]	69.7274	-5.42012
LR_8_id[cache_size=0.4,treshold=0.3]	71.2963	-7.61319
LR_9_id[cache_size=0.4,treshold=0.3]	71.3018	-7.61446
LR_7_id[cache_size=0.4,treshold=0.3]	71.3027	-7.61611
LR_8[cache_size=0.4,treshold=0.3]	74.2199	-9.51637
LR_7[cache_size=0.4,treshold=0.3]	74.2236	-9.51692
LR_9[cache_size=0.4,treshold=0.3]	74.2265	-9.51777

Median Promotion vs Miss Ratio

Cache Size All

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
LR_id[cache_size=0.4,treshold=0.6]	28.314	3.83623
LR_id[cache_size=0.4,treshold=0.7]	21.2584	3.66773
LR_id[cache_size=0.4,treshold=0.5]	37.674	3.28171
LR_id[cache_size=0.4,treshold=0.8]	15.1759	3.13272
LR_9_id[cache_size=0.4,treshold=0.7]	26.6702	2.86409
LR_8_id[cache_size=0.4,treshold=0.7]	26.6763	2.86331
LR_7_id[cache_size=0.4,treshold=0.7]	26.695	2.8603
LR_8_id[cache_size=0.4,treshold=0.8]	14.4011	2.71648
LR_9_id[cache_size=0.4,treshold=0.8]	14.4004	2.71648
LR_7_id[cache_size=0.4,treshold=0.8]	14.4071	2.71648
LR_id[cache_size=0.4,treshold=0.9]	9.4979	2.24328
Offline Clock 2nd iteration	43.0175	1.84941
LR_id[cache_size=0.2,treshold=0.7]	20.3307	1.8045
LR_id[cache_size=0.2,treshold=0.6]	26.0415	1.70239
LR_id[cache_size=0.2,treshold=0.8]	15.6231	1.69781
LR_7_id[cache_size=0.2,treshold=0.8]	14.6523	1.54793
LR_8_id[cache_size=0.2,treshold=0.8]	14.6425	1.54727
LR_9_id[cache_size=0.2,treshold=0.8]	14.6409	1.54727
LR_9_id[cache_size=0.4,treshold=0.9]	5.99905	1.46695
LR_8_id[cache_size=0.4,treshold=0.9]	5.99871	1.46684
LR_7_id[cache_size=0.4,treshold=0.9]	6.00029	1.46673
LR_id[cache_size=0.2,treshold=0.9]	11.2324	1.43726
LR_9_id[cache_size=0.2,treshold=0.7]	24.2824	1.38888
LR_7_id[cache_size=0.2,treshold=0.7]	24.2965	1.38757
LR_8_id[cache_size=0.2,treshold=0.7]	24.2952	1.38692
LR_id[cache_size=0.2,treshold=0.5]	34.0395	1.15195
LR_7_id[cache_size=0.2,treshold=0.9]	8.22647	1.14405
LR_9_id[cache_size=0.2,treshold=0.9]	8.21678	1.14339
LR_8_id[cache_size=0.2,treshold=0.9]	8.21468	1.14274
LR_9_id[cache_size=0.4,treshold=0.6]	41.399	0.994697
LR_8_id[cache_size=0.4,treshold=0.6]	41.4021	0.991689
LR_7_id[cache_size=0.4,treshold=0.6]	41.4243	0.983666
LR_id[cache_size=0.1,treshold=0.8]	15.9815	0.940729
LR_id[cache_size=0.1,treshold=0.7]	20.2478	0.909847
Zipf Optimal Distribution	13.1121	0.902408
LR_7_id[cache_size=0.1,treshold=0.8]	14.7595	0.873501
LR_9_id[cache_size=0.1,treshold=0.8]	14.7578	0.873501
LR_8_id[cache_size=0.1,treshold=0.8]	14.7608	0.873034
LR_id[cache_size=0.1,treshold=0.9]	11.9846	0.872499
LR_9_id[cache_size=0.1,treshold=0.9]	9.0408	0.737442
LR_7_id[cache_size=0.1,treshold=0.9]	9.03634	0.737442
LR_8_id[cache_size=0.1,treshold=0.9]	9.03697	0.737065
LR_id[cache_size=0.1,treshold=0.6]	25.5375	0.720696
LR_9_id[cache_size=0.1,treshold=0.7]	23.5205	0.62762
LR_7_id[cache_size=0.1,treshold=0.7]	23.5441	0.625751
LR_8_id[cache_size=0.1,treshold=0.7]	23.5474	0.624349
LR_id[cache_size=0.1,treshold=0.5]	33.0343	0.191227
LR_8_id[cache_size=0.01,treshold=0.9]	9.85241	0.189055
LR_9_id[cache_size=0.01,treshold=0.9]	9.86369	0.189055
LR_7_id[cache_size=0.01,treshold=0.9]	9.84721	0.188808
LR_id[cache_size=0.01,treshold=0.9]	12.6583	0.186796
LR_9_id[cache_size=0.01,treshold=0.8]	15.1701	0.135744
LR_8_id[cache_size=0.01,treshold=0.8]	15.1877	0.13451
LR_7_id[cache_size=0.01,treshold=0.8]	15.2028	0.133523
LR_id[cache_size=0.01,treshold=0.8]	16.3857	0.130808
LR_9[cache_size=0.1,treshold=0.8]	5.11123	0.106164
LR_8[cache_size=0.1,treshold=0.8]	5.22281	0.104761
LR_7[cache_size=0.1,treshold=0.8]	5.18922	0.104761
LR_9[cache_size=0.01,treshold=0.8]	6.39562	0.0836508
LR_8[cache_size=0.01,treshold=0.8]	6.71621	0.0752611
LR_7[cache_size=0.01,treshold=0.8]	6.879	0.0693389
LR_8[cache_size=0.01,treshold=0.9]	1.35994	0.034785
LR_9[cache_size=0.01,treshold=0.9]	1.34993	0.0345383
LR_7[cache_size=0.01,treshold=0.9]	1.34701	0.0340449
LR_id[cache_size=0.01,treshold=0.7]	20.3359	0.0229532
LR_8[cache_size=0.4,treshold=0.9]	0	0
LR_8[cache_size=0.2,treshold=0.9]	0	0
LR_9[cache_size=0.2,treshold=0.9]	0	0
LR_9[cache_size=0.4,treshold=0.9]	0	0
Offline Clock 1st iteration	0	0
LR_7[cache_size=0.2,treshold=0.9]	0	0
LR_7[cache_size=0.4,treshold=0.9]	0	0
LR_7[cache_size=0.1,treshold=0.9]	0.000525669	-0.000467327
LR_9[cache_size=0.1,treshold=0.9]	0.000525669	-0.000467327
LR_8[cache_size=0.1,treshold=0.9]	0.000545138	-0.000467327
LR_7[cache_size=0.2,treshold=0.8]	4.66176	-0.0124353
LR_8[cache_size=0.2,treshold=0.8]	4.79728	-0.0124358
LR_9[cache_size=0.2,treshold=0.8]	4.66471	-0.0130898
LR_9_id[cache_size=0.01,treshold=0.7]	22.7619	-0.116987
LR_8_id[cache_size=0.01,treshold=0.7]	22.8659	-0.125379
LR_7_id[cache_size=0.01,treshold=0.7]	22.9334	-0.130068
LR_9[cache_size=0.4,treshold=0.8]	6.83324	-0.157605
LR_7[cache_size=0.4,treshold=0.8]	6.84329	-0.157828
LR_8[cache_size=0.4,treshold=0.8]	6.84693	-0.158051
LR_id[cache_size=0.01,treshold=0.6]	25.2535	-0.177172
LR_9_id[cache_size=0.2,treshold=0.6]	38.1561	-0.189802
LR_7_id[cache_size=0.2,treshold=0.6]	38.1593	-0.190456
LR_8_id[cache_size=0.2,treshold=0.6]	38.1677	-0.194383
LR_id[cache_size=0.01,treshold=0.5]	32.2721	-0.584438
LR_9_id[cache_size=0.1,treshold=0.6]	36.8537	-0.696317
LR_7_id[cache_size=0.1,treshold=0.6]	36.8903	-0.702392
LR_8_id[cache_size=0.1,treshold=0.6]	36.8919	-0.704262
LR_9_id[cache_size=0.01,treshold=0.6]	34.6826	-0.906372
LR_8_id[cache_size=0.01,treshold=0.6]	34.8663	-0.931295
LR_7_id[cache_size=0.01,treshold=0.6]	34.9634	-0.944868
LR_9[cache_size=0.01,treshold=0.7]	28.6736	-0.998416
LR_8[cache_size=0.01,treshold=0.7]	28.7385	-1.01446
LR_7[cache_size=0.01,treshold=0.7]	28.6851	-1.0189
LR_9[cache_size=0.4,treshold=0.7]	28.9077	-1.05476
LR_8[cache_size=0.4,treshold=0.7]	28.9133	-1.05498
LR_7[cache_size=0.4,treshold=0.7]	28.9118	-1.0552
LR_7[cache_size=0.2,treshold=0.7]	29.8348	-1.10351
LR_9[cache_size=0.2,treshold=0.7]	29.8565	-1.10548
LR_8[cache_size=0.2,treshold=0.7]	29.9112	-1.11202
LR_9[cache_size=0.1,treshold=0.7]	30.4056	-1.21329
LR_7[cache_size=0.1,treshold=0.7]	30.4225	-1.21703
LR_8[cache_size=0.1,treshold=0.7]	30.4119	-1.21796
LR_9_id[cache_size=0.4,treshold=0.5]	53.7463	-1.78827
LR_8_id[cache_size=0.4,treshold=0.5]	53.7448	-1.78961
LR_7_id[cache_size=0.4,treshold=0.5]	53.7617	-1.79585
LR_9_id[cache_size=0.01,treshold=0.5]	48.7273	-2.29665
LR_8_id[cache_size=0.01,treshold=0.5]	48.753	-2.30578
LR_7_id[cache_size=0.01,treshold=0.5]	48.7291	-2.30677
LR_7[cache_size=0.01,treshold=0.6]	46.1218	-2.44002
LR_8[cache_size=0.01,treshold=0.6]	46.3244	-2.45458
LR_9[cache_size=0.01,treshold=0.6]	46.5806	-2.46815
LR_7_id[cache_size=0.2,treshold=0.5]	51.5201	-2.6599
LR_9_id[cache_size=0.2,treshold=0.5]	51.5294	-2.66102
LR_8_id[cache_size=0.2,treshold=0.5]	51.5302	-2.66364
LR_9_id[cache_size=0.1,treshold=0.5]	50.5947	-2.83755
LR_8_id[cache_size=0.1,treshold=0.5]	50.6011	-2.84175
LR_7_id[cache_size=0.1,treshold=0.5]	50.6118	-2.84269
LR_9[cache_size=0.4,treshold=0.6]	47.09	-2.94567
LR_8[cache_size=0.4,treshold=0.6]	47.0844	-2.94589
LR_7[cache_size=0.4,treshold=0.6]	47.0885	-2.94612
LR_8[cache_size=0.1,treshold=0.6]	47.8032	-3.21486
LR_9[cache_size=0.1,treshold=0.6]	47.8454	-3.21626
LR_7[cache_size=0.1,treshold=0.6]	47.8263	-3.21626
LR_7[cache_size=0.2,treshold=0.6]	47.7035	-3.22357
LR_9[cache_size=0.2,treshold=0.6]	47.7346	-3.22619
LR_8[cache_size=0.2,treshold=0.6]	47.728	-3.22881
LR_7[cache_size=0.01,treshold=0.5]	58.0668	-3.69557
LR_8[cache_size=0.01,treshold=0.5]	58.1308	-3.70497
LR_9[cache_size=0.01,treshold=0.5]	58.3185	-3.72372
LR_id[cache_size=0.01,treshold=0.3]	67.5634	-4.50965
LR_8[cache_size=0.1,treshold=0.5]	59.2066	-5.06472
LR_7[cache_size=0.1,treshold=0.5]	59.2247	-5.06612
LR_9[cache_size=0.1,treshold=0.5]	59.2495	-5.06939
LR_9[cache_size=0.4,treshold=0.5]	59.5096	-5.15506
LR_7[cache_size=0.4,treshold=0.5]	59.5067	-5.15518
LR_8[cache_size=0.4,treshold=0.5]	59.5021	-5.15551
LR_7_id[cache_size=0.01,treshold=0.3]	70.4748	-5.16634
LR_8_id[cache_size=0.01,treshold=0.3]	70.506	-5.17349
LR_9_id[cache_size=0.01,treshold=0.3]	70.5787	-5.18756
LR_8[cache_size=0.2,treshold=0.5]	59.3574	-5.35581
LR_7[cache_size=0.2,treshold=0.5]	59.3645	-5.35646
LR_9[cache_size=0.2,treshold=0.5]	59.3861	-5.35997
LR_id[cache_size=0.4,treshold=0.3]	69.7299	-5.42371
LR_8[cache_size=0.01,treshold=0.3]	72.8871	-5.65639
LR_7[cache_size=0.01,treshold=0.3]	72.9019	-5.65663
LR_9[cache_size=0.01,treshold=0.3]	72.8571	-5.65865
LR_id[cache_size=0.1,treshold=0.3]	68.7494	-6.19818
LR_id[cache_size=0.2,treshold=0.3]	68.9722	-6.38585
LR_8_id[cache_size=0.1,treshold=0.3]	71.0133	-7.286
LR_7_id[cache_size=0.1,treshold=0.3]	71.0297	-7.29161
LR_9_id[cache_size=0.1,treshold=0.3]	71.0358	-7.29208
LR_8_id[cache_size=0.4,treshold=0.3]	71.2965	-7.60825
LR_9_id[cache_size=0.4,treshold=0.3]	71.3016	-7.60959
LR_7_id[cache_size=0.4,treshold=0.3]	71.3027	-7.61137
LR_7_id[cache_size=0.2,treshold=0.3]	71.0998	-7.87185
LR_8_id[cache_size=0.2,treshold=0.3]	71.1053	-7.87446
LR_9_id[cache_size=0.2,treshold=0.3]	71.1161	-7.87708
LR_7[cache_size=0.1,treshold=0.3]	73.4736	-8.14887
LR_8[cache_size=0.1,treshold=0.3]	73.4754	-8.14887
LR_9[cache_size=0.1,treshold=0.3]	73.4873	-8.15308
LR_8[cache_size=0.2,treshold=0.3]	73.836	-9.11965
LR_7[cache_size=0.2,treshold=0.3]	73.856	-9.12554
LR_9[cache_size=0.2,treshold=0.3]	73.8653	-9.12816
LR_8[cache_size=0.4,treshold=0.3]	74.2175	-9.51499
LR_7[cache_size=0.4,treshold=0.3]	74.2211	-9.51555
LR_9[cache_size=0.4,treshold=0.3]	74.2239	-9.51655

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_id[cache_size=0.01,treshold=0.9]	9.85241	0.189055
LR_9_id[cache_size=0.01,treshold=0.9]	9.86369	0.189055
LR_7_id[cache_size=0.01,treshold=0.9]	9.84721	0.188808
LR_id[cache_size=0.01,treshold=0.9]	12.6583	0.186796
LR_9_id[cache_size=0.01,treshold=0.8]	15.1701	0.135744
LR_8_id[cache_size=0.01,treshold=0.8]	15.1877	0.13451
LR_7_id[cache_size=0.01,treshold=0.8]	15.2028	0.133523
LR_id[cache_size=0.01,treshold=0.8]	16.3857	0.130808
LR_9[cache_size=0.01,treshold=0.8]	6.39562	0.0836508
LR_8[cache_size=0.01,treshold=0.8]	6.71621	0.0752611
LR_7[cache_size=0.01,treshold=0.8]	6.879	0.0693389
LR_8[cache_size=0.01,treshold=0.9]	1.35994	0.034785
LR_9[cache_size=0.01,treshold=0.9]	1.34993	0.0345383
LR_7[cache_size=0.01,treshold=0.9]	1.34701	0.0340449
LR_id[cache_size=0.01,treshold=0.7]	20.3359	0.0229532
Offline Clock 1st iteration	0	0
LR_9_id[cache_size=0.01,treshold=0.7]	22.7619	-0.116987
LR_8_id[cache_size=0.01,treshold=0.7]	22.8659	-0.125379
LR_7_id[cache_size=0.01,treshold=0.7]	22.9334	-0.130068
LR_id[cache_size=0.01,treshold=0.6]	25.2535	-0.177172
LR_id[cache_size=0.01,treshold=0.5]	32.2721	-0.584438
LR_9_id[cache_size=0.01,treshold=0.6]	34.6826	-0.906372
LR_8_id[cache_size=0.01,treshold=0.6]	34.8663	-0.931295
LR_7_id[cache_size=0.01,treshold=0.6]	34.9634	-0.944868
LR_9[cache_size=0.01,treshold=0.7]	28.6736	-0.998416
LR_8[cache_size=0.01,treshold=0.7]	28.7385	-1.01446
LR_7[cache_size=0.01,treshold=0.7]	28.6851	-1.0189
LR_9_id[cache_size=0.01,treshold=0.5]	48.7273	-2.29665
LR_8_id[cache_size=0.01,treshold=0.5]	48.753	-2.30578
LR_7_id[cache_size=0.01,treshold=0.5]	48.7291	-2.30677
LR_7[cache_size=0.01,treshold=0.6]	46.1218	-2.44002
LR_8[cache_size=0.01,treshold=0.6]	46.3244	-2.45458
LR_9[cache_size=0.01,treshold=0.6]	46.5806	-2.46815
LR_7[cache_size=0.01,treshold=0.5]	58.0668	-3.69557
LR_8[cache_size=0.01,treshold=0.5]	58.1308	-3.70497
LR_9[cache_size=0.01,treshold=0.5]	58.3185	-3.72372
LR_id[cache_size=0.01,treshold=0.3]	67.5634	-4.50965
LR_7_id[cache_size=0.01,treshold=0.3]	70.4748	-5.16634
LR_8_id[cache_size=0.01,treshold=0.3]	70.506	-5.17349
LR_9_id[cache_size=0.01,treshold=0.3]	70.5787	-5.18756
LR_8[cache_size=0.01,treshold=0.3]	72.8871	-5.65639
LR_7[cache_size=0.01,treshold=0.3]	72.9019	-5.65663
LR_9[cache_size=0.01,treshold=0.3]	72.8571	-5.65865

Cache Size 0.1

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.0175	1.84941
LR_id[cache_size=0.1,treshold=0.8]	15.9815	0.940729
LR_id[cache_size=0.1,treshold=0.7]	20.2478	0.909847
Zipf Optimal Distribution	13.1121	0.902408
LR_7_id[cache_size=0.1,treshold=0.8]	14.7595	0.873501
LR_9_id[cache_size=0.1,treshold=0.8]	14.7578	0.873501
LR_8_id[cache_size=0.1,treshold=0.8]	14.7608	0.873034
LR_id[cache_size=0.1,treshold=0.9]	11.9846	0.872499
LR_9_id[cache_size=0.1,treshold=0.9]	9.0408	0.737442
LR_7_id[cache_size=0.1,treshold=0.9]	9.03634	0.737442
LR_8_id[cache_size=0.1,treshold=0.9]	9.03697	0.737065
LR_id[cache_size=0.1,treshold=0.6]	25.5375	0.720696
LR_9_id[cache_size=0.1,treshold=0.7]	23.5205	0.62762
LR_7_id[cache_size=0.1,treshold=0.7]	23.5441	0.625751
LR_8_id[cache_size=0.1,treshold=0.7]	23.5474	0.624349
LR_id[cache_size=0.1,treshold=0.5]	33.0343	0.191227
LR_9[cache_size=0.1,treshold=0.8]	5.11123	0.106164
LR_8[cache_size=0.1,treshold=0.8]	5.22281	0.104761
LR_7[cache_size=0.1,treshold=0.8]	5.18922	0.104761
Offline Clock 1st iteration	0	0
LR_8[cache_size=0.1,treshold=0.9]	0.000545138	-0.000467327
LR_7[cache_size=0.1,treshold=0.9]	0.000525669	-0.000467327
LR_9[cache_size=0.1,treshold=0.9]	0.000525669	-0.000467327
LR_9_id[cache_size=0.1,treshold=0.6]	36.8537	-0.696317
LR_7_id[cache_size=0.1,treshold=0.6]	36.8903	-0.702392
LR_8_id[cache_size=0.1,treshold=0.6]	36.8919	-0.704262
LR_9[cache_size=0.1,treshold=0.7]	30.4056	-1.21329
LR_7[cache_size=0.1,treshold=0.7]	30.4225	-1.21703
LR_8[cache_size=0.1,treshold=0.7]	30.4119	-1.21796
LR_9_id[cache_size=0.1,treshold=0.5]	50.5947	-2.83755
LR_8_id[cache_size=0.1,treshold=0.5]	50.6011	-2.84175
LR_7_id[cache_size=0.1,treshold=0.5]	50.6118	-2.84269
LR_8[cache_size=0.1,treshold=0.6]	47.8032	-3.21486
LR_7[cache_size=0.1,treshold=0.6]	47.8263	-3.21626
LR_9[cache_size=0.1,treshold=0.6]	47.8454	-3.21626
LR_8[cache_size=0.1,treshold=0.5]	59.2066	-5.06472
LR_7[cache_size=0.1,treshold=0.5]	59.2247	-5.06612
LR_9[cache_size=0.1,treshold=0.5]	59.2495	-5.06939
LR_id[cache_size=0.1,treshold=0.3]	68.7494	-6.19818
LR_8_id[cache_size=0.1,treshold=0.3]	71.0133	-7.286
LR_7_id[cache_size=0.1,treshold=0.3]	71.0297	-7.29161
LR_9_id[cache_size=0.1,treshold=0.3]	71.0358	-7.29208
LR_7[cache_size=0.1,treshold=0.3]	73.4736	-8.14887
LR_8[cache_size=0.1,treshold=0.3]	73.4754	-8.14887
LR_9[cache_size=0.1,treshold=0.3]	73.4873	-8.15308

Cache Size 0.2

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.2233	3.56334
LR_id[cache_size=0.2,treshold=0.7]	20.3307	1.8045
LR_id[cache_size=0.2,treshold=0.6]	26.0415	1.70239
LR_id[cache_size=0.2,treshold=0.8]	15.6231	1.69781
Zipf Optimal Distribution	15.0351	1.67163
LR_7_id[cache_size=0.2,treshold=0.8]	14.6523	1.54793
LR_8_id[cache_size=0.2,treshold=0.8]	14.6425	1.54727
LR_9_id[cache_size=0.2,treshold=0.8]	14.6409	1.54727
LR_id[cache_size=0.2,treshold=0.9]	11.2324	1.43726
LR_9_id[cache_size=0.2,treshold=0.7]	24.2824	1.38888
LR_7_id[cache_size=0.2,treshold=0.7]	24.2965	1.38757
LR_8_id[cache_size=0.2,treshold=0.7]	24.2952	1.38692
LR_id[cache_size=0.2,treshold=0.5]	34.0395	1.15195
LR_7_id[cache_size=0.2,treshold=0.9]	8.22647	1.14405
LR_9_id[cache_size=0.2,treshold=0.9]	8.21678	1.14339
LR_8_id[cache_size=0.2,treshold=0.9]	8.21468	1.14274
LR_7[cache_size=0.2,treshold=0.9]	0	0
Offline Clock 1st iteration	0	0
LR_9[cache_size=0.2,treshold=0.9]	0	0
LR_8[cache_size=0.2,treshold=0.9]	0	0
LR_7[cache_size=0.2,treshold=0.8]	4.66176	-0.0124353
LR_8[cache_size=0.2,treshold=0.8]	4.79728	-0.0124358
LR_9[cache_size=0.2,treshold=0.8]	4.66471	-0.0130898
LR_9_id[cache_size=0.2,treshold=0.6]	38.1561	-0.189802
LR_7_id[cache_size=0.2,treshold=0.6]	38.1593	-0.190456
LR_8_id[cache_size=0.2,treshold=0.6]	38.1677	-0.194383
LR_7[cache_size=0.2,treshold=0.7]	29.8348	-1.10351
LR_9[cache_size=0.2,treshold=0.7]	29.8565	-1.10548
LR_8[cache_size=0.2,treshold=0.7]	29.9112	-1.11202
LR_7_id[cache_size=0.2,treshold=0.5]	51.5201	-2.6599
LR_9_id[cache_size=0.2,treshold=0.5]	51.5294	-2.66102
LR_8_id[cache_size=0.2,treshold=0.5]	51.5302	-2.66364
LR_7[cache_size=0.2,treshold=0.6]	47.7035	-3.22357
LR_9[cache_size=0.2,treshold=0.6]	47.7346	-3.22619
LR_8[cache_size=0.2,treshold=0.6]	47.728	-3.22881
LR_8[cache_size=0.2,treshold=0.5]	59.3574	-5.35581
LR_7[cache_size=0.2,treshold=0.5]	59.3645	-5.35646
LR_9[cache_size=0.2,treshold=0.5]	59.3861	-5.35997
LR_id[cache_size=0.2,treshold=0.3]	68.9722	-6.38585
LR_7_id[cache_size=0.2,treshold=0.3]	71.0998	-7.87185
LR_8_id[cache_size=0.2,treshold=0.3]	71.1053	-7.87446
LR_9_id[cache_size=0.2,treshold=0.3]	71.1161	-7.87708
LR_8[cache_size=0.2,treshold=0.3]	73.836	-9.11965
LR_7[cache_size=0.2,treshold=0.3]	73.856	-9.12554
LR_9[cache_size=0.2,treshold=0.3]	73.8653	-9.12816

Cache Size 0.4

Model	Promotion Reduced (%)	Miss Ratio Reduced (%)
Offline Clock 2nd iteration	43.46	7.8007
LR_id[cache_size=0.4,treshold=0.6]	28.314	3.83623
LR_id[cache_size=0.4,treshold=0.7]	21.2584	3.66773
Zipf Optimal Distribution	17.0793	3.33616
LR_id[cache_size=0.4,treshold=0.5]	37.674	3.28171
LR_id[cache_size=0.4,treshold=0.8]	15.1759	3.13272
LR_9_id[cache_size=0.4,treshold=0.7]	26.6702	2.86409
LR_8_id[cache_size=0.4,treshold=0.7]	26.6763	2.86331
LR_7_id[cache_size=0.4,treshold=0.7]	26.695	2.8603
LR_7_id[cache_size=0.4,treshold=0.8]	14.4071	2.71648
LR_9_id[cache_size=0.4,treshold=0.8]	14.4004	2.71648
LR_8_id[cache_size=0.4,treshold=0.8]	14.4011	2.71648
LR_id[cache_size=0.4,treshold=0.9]	9.4979	2.24328
LR_9_id[cache_size=0.4,treshold=0.9]	5.99905	1.46695
LR_8_id[cache_size=0.4,treshold=0.9]	5.99871	1.46684
LR_7_id[cache_size=0.4,treshold=0.9]	6.00029	1.46673
LR_9_id[cache_size=0.4,treshold=0.6]	41.399	0.994697
LR_8_id[cache_size=0.4,treshold=0.6]	41.4021	0.991689
LR_7_id[cache_size=0.4,treshold=0.6]	41.4243	0.983666
Offline Clock 1st iteration	0	0
LR_8[cache_size=0.4,treshold=0.9]	0	0
LR_7[cache_size=0.4,treshold=0.9]	0	0
LR_9[cache_size=0.4,treshold=0.9]	0	0
LR_9[cache_size=0.4,treshold=0.8]	6.83324	-0.157605
LR_7[cache_size=0.4,treshold=0.8]	6.84329	-0.157828
LR_8[cache_size=0.4,treshold=0.8]	6.84693	-0.158051
LR_9[cache_size=0.4,treshold=0.7]	28.9077	-1.05476
LR_8[cache_size=0.4,treshold=0.7]	28.9133	-1.05498
LR_7[cache_size=0.4,treshold=0.7]	28.9118	-1.0552
LR_9_id[cache_size=0.4,treshold=0.5]	53.7463	-1.78827
LR_8_id[cache_size=0.4,treshold=0.5]	53.7448	-1.78961
LR_7_id[cache_size=0.4,treshold=0.5]	53.7617	-1.79585
LR_9[cache_size=0.4,treshold=0.6]	47.09	-2.94567
LR_8[cache_size=0.4,treshold=0.6]	47.0844	-2.94589
LR_7[cache_size=0.4,treshold=0.6]	47.0885	-2.94612
LR_9[cache_size=0.4,treshold=0.5]	59.5096	-5.15506
LR_7[cache_size=0.4,treshold=0.5]	59.5067	-5.15518
LR_8[cache_size=0.4,treshold=0.5]	59.5021	-5.15551
LR_id[cache_size=0.4,treshold=0.3]	69.7299	-5.42371
LR_8_id[cache_size=0.4,treshold=0.3]	71.2965	-7.60825
LR_9_id[cache_size=0.4,treshold=0.3]	71.3016	-7.60959
LR_7_id[cache_size=0.4,treshold=0.3]	71.3027	-7.61137
LR_8[cache_size=0.4,treshold=0.3]	74.2175	-9.51499
LR_7[cache_size=0.4,treshold=0.3]	74.2211	-9.51555
LR_9[cache_size=0.4,treshold=0.3]	74.2239	-9.51655

Model Classification Report

LR_7

0.01

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.47      0.62  28055468
           1       0.58      0.95      0.72  21729815

    accuracy                           0.68  49785283
   macro avg       0.75      0.71      0.67  49785283
weighted avg       0.77      0.68      0.66  49785283

Accuracy: 0.6755959587494963

0-1%

              precision    recall  f1-score   support

           0       0.92      0.47      0.62  27764588
           1       0.52      0.93      0.67  17098553

    accuracy                           0.65  44863141
   macro avg       0.72      0.70      0.64  44863141
weighted avg       0.77      0.65      0.64  44863141

Accuracy: 0.6464878150194611

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       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.726206618128494

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7262065980422368

0-1%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7031807469744483

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7031807246844353

1-10%

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9303529753157377

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.83      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.7236905392731355

10-20%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.73  21520956

    accuracy                           0.73  49575563
   macro avg       0.74      0.74      0.73  49575563
weighted avg       0.75      0.73      0.73  49575563

Accuracy: 0.7250804393285458

              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: 0.988637718161579

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.73  49706790
   macro avg       0.74      0.74      0.73  49706790
weighted avg       0.75      0.73      0.73  49706790

Accuracy: 0.7257862959969855

              precision    recall  f1-score   support

           0       0.01      0.00      0.01       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: 0.9924482004465545

40-80%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.73  49772193
   macro avg       0.74      0.74      0.73  49772193
weighted avg       0.75      0.73      0.73  49772193

Accuracy: 0.7261369214734018

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

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

Accuracy: 0.9926150176597404

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      0.99      1.00      7371

    accuracy                           0.99      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9928242621175196

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      0.99      0.99      5686

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

Accuracy: 0.9891304347826086

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.77      0.75      0.76  28055468
           1       0.69      0.72      0.70  21729815

    accuracy                           0.74  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.74      0.74      0.74  49785283

Accuracy: 0.7355653276089643

0-1%

              precision    recall  f1-score   support

           0       0.78      0.76      0.77  27764588
           1       0.62      0.65      0.64  17098553

    accuracy                           0.72  44863141
   macro avg       0.70      0.70      0.70  44863141
weighted avg       0.72      0.72      0.72  44863141

Accuracy: 0.7159792266885637

1-10%

              precision    recall  f1-score   support

           0       0.09      0.05      0.06    287564
           1       0.94      0.97      0.95   4164787

    accuracy                           0.91   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.91      0.89   4452351

Accuracy: 0.9077972513847179

10-20%

              precision    recall  f1-score   support

           0       0.01      0.02      0.01      2455
           1       0.99      0.99      0.99    257616

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

Accuracy: 0.9765948529440037

20-40%

              precision    recall  f1-score   support

           0       0.01      0.03      0.01       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9748755972475177

40-80%

              precision    recall  f1-score   support

           0       0.00      0.05      0.01       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.51      0.49     65403
weighted avg       0.99      0.96      0.98     65403

Accuracy: 0.9638854486797241

80-90%

              precision    recall  f1-score   support

           0       0.00      0.07      0.01        15
           1       1.00      0.96      0.98      7371

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

Accuracy: 0.9545085296506904

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: 0.9491584852734923

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.88      0.77  28055468
           1       0.76      0.50      0.60  21729815

    accuracy                           0.71  49785283
   macro avg       0.73      0.69      0.69  49785283
weighted avg       0.72      0.71      0.70  49785283

Accuracy: 0.7110544294786875

0-1%

              precision    recall  f1-score   support

           0       0.70      0.88      0.78  27764588
           1       0.68      0.39      0.50  17098553

    accuracy                           0.70  44863141
   macro avg       0.69      0.64      0.64  44863141
weighted avg       0.69      0.70      0.67  44863141

Accuracy: 0.6968400406917563

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: 0.8325159000267499

10-20%

              precision    recall  f1-score   support

           0       0.01      0.06      0.02      2455
           1       0.99      0.94      0.97    257616

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

Accuracy: 0.934371767709587

20-40%

              precision    recall  f1-score   support

           0       0.01      0.10      0.01       659
           1       1.00      0.92      0.95    130568

    accuracy                           0.91    131227
   macro avg       0.50      0.51      0.48    131227
weighted avg       0.99      0.91      0.95    131227

Accuracy: 0.9129371242198633

40-80%

              precision    recall  f1-score   support

           0       0.00      0.17      0.01       169
           1       1.00      0.87      0.93     65234

    accuracy                           0.87     65403
   macro avg       0.50      0.52      0.47     65403
weighted avg       0.99      0.87      0.93     65403

Accuracy: 0.8724676238093054

80-90%

              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.85      0.92      7371

    accuracy                           0.85      7386
   macro avg       0.50      0.49      0.46      7386
weighted avg       1.00      0.85      0.92      7386

Accuracy: 0.8479555916598971

90-100%

              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.85      0.92      5686

    accuracy                           0.85      5704
   macro avg       0.50      0.59      0.47      5704
weighted avg       0.99      0.85      0.91      5704

Accuracy: 0.8467741935483871

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.60      0.99      0.75  28055468
           1       0.90      0.16      0.27  21729815

    accuracy                           0.62  49785283
   macro avg       0.75      0.57      0.51  49785283
weighted avg       0.73      0.62      0.54  49785283

Accuracy: 0.623849602301146

0-1%

              precision    recall  f1-score   support

           0       0.63      0.99      0.77  27764588
           1       0.78      0.05      0.10  17098553

    accuracy                           0.63  44863141
   macro avg       0.70      0.52      0.43  44863141
weighted avg       0.69      0.63      0.51  44863141

Accuracy: 0.6327755785088699

1-10%

              precision    recall  f1-score   support

           0       0.07      0.56      0.13    287564
           1       0.94      0.52      0.67   4164787

    accuracy                           0.53   4452351
   macro avg       0.51      0.54      0.40   4452351
weighted avg       0.89      0.53      0.64   4452351

Accuracy: 0.5269303790289669

10-20%

              precision    recall  f1-score   support

           0       0.01      0.24      0.02      2455
           1       0.99      0.76      0.86    257616

    accuracy                           0.76    260071
   macro avg       0.50      0.50      0.44    260071
weighted avg       0.98      0.76      0.85    260071

Accuracy: 0.7580468410549427

20-40%

              precision    recall  f1-score   support

           0       0.01      0.36      0.01       659
           1       1.00      0.67      0.80    130568

    accuracy                           0.66    131227
   macro avg       0.50      0.51      0.40    131227
weighted avg       0.99      0.66      0.79    131227

Accuracy: 0.6645354995542075

40-80%

              precision    recall  f1-score   support

           0       0.00      0.51      0.01       169
           1       1.00      0.52      0.69     65234

    accuracy                           0.52     65403
   macro avg       0.50      0.52      0.35     65403
weighted avg       0.99      0.52      0.68     65403

Accuracy: 0.5224072290261914

80-90%

              precision    recall  f1-score   support

           0       0.00      0.47      0.00        15
           1       1.00      0.43      0.60      7371

    accuracy                           0.43      7386
   macro avg       0.50      0.45      0.30      7386
weighted avg       1.00      0.43      0.60      7386

Accuracy: 0.4309504467912266

90-100%

              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.43      0.60      5686

    accuracy                           0.43      5704
   macro avg       0.50      0.49      0.30      5704
weighted avg       0.99      0.43      0.60      5704

Accuracy: 0.42934782608695654

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28055468
           1       0.95      0.03      0.06  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.51      0.39  49785283
weighted avg       0.74      0.58      0.44  49785283

Accuracy: 0.5762185784903543

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.55      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.58      0.50      0.38  44863141
weighted avg       0.59      0.62      0.47  44863141

Accuracy: 0.6189122602895771

1-10%

              precision    recall  f1-score   support

           0       0.07      0.92      0.13    287564
           1       0.96      0.14      0.24   4164787

    accuracy                           0.19   4452351
   macro avg       0.51      0.53      0.18   4452351
weighted avg       0.90      0.19      0.23   4452351

Accuracy: 0.18617085670020175

10-20%

              precision    recall  f1-score   support

           0       0.01      0.69      0.02      2455
           1       0.99      0.30      0.46    257616

    accuracy                           0.31    260071
   macro avg       0.50      0.50      0.24    260071
weighted avg       0.98      0.31      0.46    260071

Accuracy: 0.30700078055607893

20-40%

              precision    recall  f1-score   support

           0       0.00      0.90      0.01       659
           1       0.99      0.09      0.16    130568

    accuracy                           0.09    131227
   macro avg       0.50      0.49      0.08    131227
weighted avg       0.99      0.09      0.16    131227

Accuracy: 0.08976811174529632

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       1.00      0.00      0.00     65403

Accuracy: 0.004648104826995704

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      0.48      0.63  26119367
           1       0.60      0.95      0.73  21615229

    accuracy                           0.69  47734596
   macro avg       0.76      0.71      0.68  47734596
weighted avg       0.77      0.69      0.68  47734596

Accuracy: 0.6900191844087252

0-1%

              precision    recall  f1-score   support

           0       0.97      0.82      0.89  12053010
           1       0.08      0.40      0.14    508421

    accuracy                           0.80  12561431
   macro avg       0.53      0.61      0.51  12561431
weighted avg       0.93      0.80      0.86  12561431

Accuracy: 0.7982386720111745

1-10%

              precision    recall  f1-score   support

           0       0.76      0.20      0.31  13368467
           1       0.56      0.94      0.70  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.57      0.51  27835287
weighted avg       0.66      0.59      0.52  27835287

Accuracy: 0.5850499763124412

10-20%

              precision    recall  f1-score   support

           0       0.28      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: 0.8686038463090511

20-40%

              precision    recall  f1-score   support

           0       0.24      0.01      0.02    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9285036731914862

40-80%

              precision    recall  f1-score   support

           0       0.21      0.02      0.03     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.59      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.960486302949195

80-90%

              precision    recall  f1-score   support

           0       0.22      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.60      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9732980747524912

90-100%

              precision    recall  f1-score   support

           0       0.22      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.60      0.51      0.52     99395
weighted avg       0.96      0.97      0.97     99395

Accuracy: 0.9748780119724332

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341488131584899

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341488131584899

0-1%

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8825039121737006

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8825039121737006

1-10%

              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7066286919645304

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6272601751869847

10-20%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7193548488341718

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.851491233188173

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7281251461310321

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9115195005649429

40-80%

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7331112802643337

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9423381062397425

80-90%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.9538601696281724

90-100%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9559233361839127

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.77      0.74      0.76  26119367
           1       0.70      0.74      0.72  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7409564124099846

0-1%

              precision    recall  f1-score   support

           0       0.96      0.95      0.96  12053010
           1       0.11      0.15      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.92  12561431

Accuracy: 0.9175185534195905

1-10%

              precision    recall  f1-score   support

           0       0.62      0.59      0.61  13368467
           1       0.64      0.67      0.65  14466820

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

Accuracy: 0.6313560194295823

10-20%

              precision    recall  f1-score   support

           0       0.18      0.11      0.14    503365
           1       0.88      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: 0.8202835061284277

20-40%

              precision    recall  f1-score   support

           0       0.10      0.09      0.10    147488
           1       0.93      0.94      0.94   1970425

    accuracy                           0.88   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.88      0.88   2117913

Accuracy: 0.8809167326514357

40-80%

              precision    recall  f1-score   support

           0       0.06      0.09      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.91   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.91      0.92   1105895

Accuracy: 0.9104318221892675

80-90%

              precision    recall  f1-score   support

           0       0.04      0.10      0.06      3093
           1       0.98      0.94      0.96    120943

    accuracy                           0.92    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.92      0.94    124036

Accuracy: 0.9208778096681609

90-100%

              precision    recall  f1-score   support

           0       0.04      0.10      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.94     99395

Accuracy: 0.9229538709190603

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.54      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.71  47734596

Accuracy: 0.7148622981956315

0-1%

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.08      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.54  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9455314446260144

1-10%

              precision    recall  f1-score   support

           0       0.56      0.78      0.65  13368467
           1       0.68      0.43      0.53  14466820

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

Accuracy: 0.5979200430015326

10-20%

              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.79      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.76   3890639

Accuracy: 0.7282690581161604

20-40%

              precision    recall  f1-score   support

           0       0.10      0.23      0.14    147488
           1       0.94      0.83      0.88   1970425

    accuracy                           0.79   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.79      0.83   2117913

Accuracy: 0.7927138650171183

40-80%

              precision    recall  f1-score   support

           0       0.05      0.23      0.09     41616
           1       0.97      0.84      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8195850419795732

80-90%

              precision    recall  f1-score   support

           0       0.04      0.24      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.82    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.82      0.88    124036

Accuracy: 0.8249137347221774

90-100%

              precision    recall  f1-score   support

           0       0.03      0.23      0.06      2328
           1       0.98      0.84      0.90     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.88     99395

Accuracy: 0.8263393530861713

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.58      0.98      0.73  26119367
           1       0.85      0.15      0.26  21615229

    accuracy                           0.60  47734596
   macro avg       0.72      0.56      0.49  47734596
weighted avg       0.70      0.60      0.52  47734596

Accuracy: 0.6038039161366318

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9588727590033334

1-10%

              precision    recall  f1-score   support

           0       0.49      0.97      0.65  13368467
           1       0.72      0.07      0.12  14466820

    accuracy                           0.50  27835287
   macro avg       0.60      0.52      0.39  27835287
weighted avg       0.61      0.50      0.38  27835287

Accuracy: 0.501558687000425

10-20%

              precision    recall  f1-score   support

           0       0.14      0.77      0.23    503365
           1       0.89      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.52      0.32   3890639
weighted avg       0.79      0.33      0.39   3890639

Accuracy: 0.33381920039356006

20-40%

              precision    recall  f1-score   support

           0       0.07      0.63      0.13    147488
           1       0.94      0.41      0.57   1970425

    accuracy                           0.43   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.43      0.54   2117913

Accuracy: 0.4275987729429868

40-80%

              precision    recall  f1-score   support

           0       0.04      0.59      0.08     41616
           1       0.97      0.46      0.62   1064279

    accuracy                           0.46   1105895
   macro avg       0.50      0.52      0.35   1105895
weighted avg       0.93      0.46      0.60   1105895

Accuracy: 0.4609424945406209

80-90%

              precision    recall  f1-score   support

           0       0.03      0.60      0.05      3093
           1       0.98      0.46      0.62    120943

    accuracy                           0.46    124036
   macro avg       0.50      0.53      0.34    124036
weighted avg       0.95      0.46      0.61    124036

Accuracy: 0.45997936083072655

90-100%

              precision    recall  f1-score   support

           0       0.02      0.57      0.05      2328
           1       0.98      0.45      0.62     97067

    accuracy                           0.46     99395
   macro avg       0.50      0.51      0.33     99395
weighted avg       0.96      0.46      0.61     99395

Accuracy: 0.4557271492529805

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: 0.5471723275923399

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: 0.95949999645741

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       0.92      0.48      0.63  24893266
           1       0.60      0.95      0.74  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.71      0.68  45456361
weighted avg       0.77      0.69      0.68  45456361

Accuracy: 0.6928762951350197

0-1%

              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.00      0.18      0.01      3872

    accuracy                           0.95   4877461
   macro avg       0.50      0.56      0.49   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9516461536032784

1-10%

              precision    recall  f1-score   support

           0       0.88      0.43      0.58  16949103
           1       0.42      0.88      0.57   8016772

    accuracy                           0.57  24965875
   macro avg       0.65      0.66      0.57  24965875
weighted avg       0.73      0.57      0.58  24965875

Accuracy: 0.574837413068839

10-20%

              precision    recall  f1-score   support

           0       0.45      0.03      0.05   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.72   7518650
   macro avg       0.59      0.51      0.44   7518650
weighted avg       0.65      0.72      0.62   7518650

Accuracy: 0.7249309383998457

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.76      0.84      0.78   4805513

Accuracy: 0.8415238914138824

40-80%

              precision    recall  f1-score   support

           0       0.26      0.02      0.04    235909
           1       0.91      0.99      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.59      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9094703649394562

80-90%

              precision    recall  f1-score   support

           0       0.23      0.03      0.05     18577
           1       0.94      0.99      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.59      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9372821857687832

90-100%

              precision    recall  f1-score   support

           0       0.22      0.03      0.05     13620
           1       0.95      0.99      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.58      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.9423667114474705

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366780416056622

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366780416056622

0-1%

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834707033023944

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834707033023944

1-10%

              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6595340239426818

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7124767820862923

10-20%

              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.712518065822304

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7126819309317497

20-40%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.83      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7247401606625994

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8197647160667342

40-80%

              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8847226368945804

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344333904847626

80-90%

              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.9116280692185483

90-100%

              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9162704025150791

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.78      0.75      0.76  24893266
           1       0.71      0.74      0.72  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7428696503004277

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.07      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9929291079928676

1-10%

              precision    recall  f1-score   support

           0       0.77      0.77      0.77  16949103
           1       0.51      0.52      0.52   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6879438032914929

10-20%

              precision    recall  f1-score   support

           0       0.40      0.26      0.32   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6884778517420016

20-40%

              precision    recall  f1-score   support

           0       0.24      0.18      0.20    744974
           1       0.86      0.90      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7854501694199975

40-80%

              precision    recall  f1-score   support

           0       0.14      0.15      0.15    235909
           1       0.92      0.91      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: 0.8462534617992384

80-90%

              precision    recall  f1-score   support

           0       0.10      0.15      0.12     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.87    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.87      0.88    315349

Accuracy: 0.8718816295596308

90-100%

              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.93    240209

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

Accuracy: 0.8771850340189655

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.70      0.86      0.77  24893266
           1       0.76      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7165491095954646

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.03      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9978880405194424

1-10%

              precision    recall  f1-score   support

           0       0.73      0.89      0.80  16949103
           1       0.56      0.29      0.38   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.67  24965875

Accuracy: 0.6978752397021935

10-20%

              precision    recall  f1-score   support

           0       0.34      0.52      0.41   2057494
           1       0.78      0.63      0.69   5461156

    accuracy                           0.60   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.60      0.62   7518650

Accuracy: 0.5972331469080221

20-40%

              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6909695177185037

40-80%

              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.79   2719684

Accuracy: 0.7465668805640655

80-90%

              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.82    315349

Accuracy: 0.7704860329349388

90-100%

              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7770625105878367

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.59      0.97      0.73  24893266
           1       0.83      0.17      0.28  20563095

    accuracy                           0.61  45456361
   macro avg       0.71      0.57      0.51  45456361
weighted avg       0.69      0.61      0.53  45456361

Accuracy: 0.6077220083675418

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991612439340878

1-10%

              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.62      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.52      0.46  24965875
weighted avg       0.67      0.69      0.59  24965875

Accuracy: 0.6862760468038873

10-20%

              precision    recall  f1-score   support

           0       0.28      0.90      0.43   2057494
           1       0.79      0.15      0.25   5461156

    accuracy                           0.35   7518650
   macro avg       0.54      0.52      0.34   7518650
weighted avg       0.66      0.35      0.30   7518650

Accuracy: 0.3530327917910795

20-40%

              precision    recall  f1-score   support

           0       0.17      0.81      0.28    744974
           1       0.88      0.26      0.40   4060539

    accuracy                           0.34   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.77      0.34      0.38   4805513

Accuracy: 0.3438069983371182

40-80%

              precision    recall  f1-score   support

           0       0.10      0.72      0.17    235909
           1       0.93      0.36      0.52   2483775

    accuracy                           0.39   2719684
   macro avg       0.51      0.54      0.35   2719684
weighted avg       0.86      0.39      0.49   2719684

Accuracy: 0.39309125619005736

80-90%

              precision    recall  f1-score   support

           0       0.07      0.68      0.12     18577
           1       0.95      0.41      0.57    296772

    accuracy                           0.42    315349
   macro avg       0.51      0.54      0.35    315349
weighted avg       0.90      0.42      0.54    315349

Accuracy: 0.42294410319994674

90-100%

              precision    recall  f1-score   support

           0       0.06      0.67      0.11     13620
           1       0.96      0.42      0.58    240209

    accuracy                           0.43    253829
   macro avg       0.51      0.54      0.35    253829
weighted avg       0.91      0.43      0.55    253829

Accuracy: 0.4295056908391082

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       0.92      0.50      0.64  22531902
           1       0.58      0.95      0.72  16938696

    accuracy                           0.69  39470598
   macro avg       0.75      0.72      0.68  39470598
weighted avg       0.78      0.69      0.68  39470598

Accuracy: 0.6886409980411242

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: 0.9999606451359001

1-10%

              precision    recall  f1-score   support

           0       0.95      0.74      0.83  11439888
           1       0.22      0.67      0.33   1271288

    accuracy                           0.73  12711176
   macro avg       0.59      0.70      0.58  12711176
weighted avg       0.88      0.73      0.78  12711176

Accuracy: 0.7289276775020659

10-20%

              precision    recall  f1-score   support

           0       0.78      0.19      0.30   5044441
           1       0.46      0.93      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.46   8856813
weighted avg       0.65      0.51      0.44   8856813

Accuracy: 0.5069134913427663

20-40%

              precision    recall  f1-score   support

           0       0.59      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.52      0.45   8578813
weighted avg       0.63      0.66      0.55   8578813

Accuracy: 0.6575001693124678

40-80%

              precision    recall  f1-score   support

           0       0.41      0.05      0.08   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.60      0.51      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7901185158715979

80-90%

              precision    recall  f1-score   support

           0       0.33      0.05      0.08    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.60      0.51      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8478683461365778

90-100%

              precision    recall  f1-score   support

           0       0.32      0.05      0.08     88944
           1       0.87      0.98      0.92    577496

    accuracy                           0.86    666440
   macro avg       0.60      0.52      0.50    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.859676790108637

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380616072753698

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.738061632610684

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: 0.9999987096765869

              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: 0.9999987096765869

1-10%

              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.848070232642121

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.829544095683987

10-20%

              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.751271780225857

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5954075128378571

20-40%

              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660275728122294

40-80%

              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7347993834512317

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7680190578285987

80-90%

              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8174316543568034

90-100%

              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8274863453574215

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.79      0.76      0.77  22531902
           1       0.69      0.74      0.72  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.75      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7480667761861627

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: 0.9999993548382935

1-10%

              precision    recall  f1-score   support

           0       0.92      0.93      0.92  11439888
           1       0.31      0.30      0.30   1271288

    accuracy                           0.86  12711176
   macro avg       0.62      0.61      0.61  12711176
weighted avg       0.86      0.86      0.86  12711176

Accuracy: 0.8637388074872066

10-20%

              precision    recall  f1-score   support

           0       0.68      0.64      0.66   5044441
           1       0.56      0.60      0.58   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6256980925305751

20-40%

              precision    recall  f1-score   support

           0       0.52      0.40      0.45   2995598
           1       0.71      0.80      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.60      0.60   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6613833405623831

40-80%

              precision    recall  f1-score   support

           0       0.34      0.30      0.32   1295061
           1       0.82      0.85      0.84   5001564

    accuracy                           0.74   6296625
   macro avg       0.58      0.57      0.58   6296625
weighted avg       0.72      0.74      0.73   6296625

Accuracy: 0.7355556349631747

80-90%

              precision    recall  f1-score   support

           0       0.25      0.28      0.27    117971
           1       0.88      0.86      0.87    692761

    accuracy                           0.77    810732
   macro avg       0.56      0.57      0.57    810732
weighted avg       0.78      0.77      0.78    810732

Accuracy: 0.774581489320762

90-100%

              precision    recall  f1-score   support

           0       0.24      0.27      0.25     88944
           1       0.89      0.86      0.87    577496

    accuracy                           0.78    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.78      0.79    666440

Accuracy: 0.7839235340015606

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.72      0.86      0.78  22531902
           1       0.75      0.55      0.64  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.73      0.73      0.72  39470598

Accuracy: 0.7295214782405881

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       0.91      0.97      0.94  11439888
           1       0.37      0.17      0.24   1271288

    accuracy                           0.89  12711176
   macro avg       0.64      0.57      0.59  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8877049613662812

10-20%

              precision    recall  f1-score   support

           0       0.64      0.82      0.71   5044441
           1       0.61      0.38      0.47   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.60      0.59   8856813
weighted avg       0.62      0.63      0.61   8856813

Accuracy: 0.6289794082815117

20-40%

              precision    recall  f1-score   support

           0       0.46      0.64      0.54   2995598
           1       0.76      0.60      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.65      0.62      0.62   8578813

Accuracy: 0.6154488971842608

40-80%

              precision    recall  f1-score   support

           0       0.30      0.53      0.39   1295061
           1       0.85      0.68      0.76   5001564

    accuracy                           0.65   6296625
   macro avg       0.58      0.61      0.57   6296625
weighted avg       0.74      0.65      0.68   6296625

Accuracy: 0.6527049014352927

80-90%

              precision    recall  f1-score   support

           0       0.22      0.50      0.31    117971
           1       0.89      0.70      0.79    692761

    accuracy                           0.67    810732
   macro avg       0.56      0.60      0.55    810732
weighted avg       0.79      0.67      0.72    810732

Accuracy: 0.6739526748666637

90-100%

              precision    recall  f1-score   support

           0       0.21      0.49      0.29     88944
           1       0.90      0.71      0.79    577496

    accuracy                           0.68    666440
   macro avg       0.55      0.60      0.54    666440
weighted avg       0.81      0.68      0.73    666440

Accuracy: 0.6813351539523438

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.62      0.96      0.76  22531902
           1       0.82      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.72      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.6486970377291978

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      0.99      0.95  11439888
           1       0.47      0.06      0.10   1271288

    accuracy                           0.90  12711176
   macro avg       0.69      0.52      0.52  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.8992394566796966

10-20%

              precision    recall  f1-score   support

           0       0.59      0.95      0.73   5044441
           1       0.68      0.13      0.22   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.54      0.48   8856813
weighted avg       0.63      0.60      0.51   8856813

Accuracy: 0.5995312309292293

20-40%

              precision    recall  f1-score   support

           0       0.39      0.90      0.54   2995598
           1       0.81      0.23      0.36   5583215

    accuracy                           0.47   8578813
   macro avg       0.60      0.57      0.45   8578813
weighted avg       0.66      0.47      0.43   8578813

Accuracy: 0.4669942100381486

40-80%

              precision    recall  f1-score   support

           0       0.24      0.84      0.38   1295061
           1       0.89      0.32      0.47   5001564

    accuracy                           0.43   6296625
   macro avg       0.56      0.58      0.42   6296625
weighted avg       0.75      0.43      0.45   6296625

Accuracy: 0.42776217418061263

80-90%

              precision    recall  f1-score   support

           0       0.18      0.82      0.29    117971
           1       0.92      0.35      0.50    692761

    accuracy                           0.42    810732
   macro avg       0.55      0.58      0.40    810732
weighted avg       0.81      0.42      0.47    810732

Accuracy: 0.41582668502045067

90-100%

              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.36      0.51    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.48    666440

Accuracy: 0.41608546905948024

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_id

0.01

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.93      0.51      0.65  28055468
           1       0.60      0.95      0.73  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.73      0.69  49785283
weighted avg       0.78      0.70      0.69  49785283

Accuracy: 0.6987455107968353

0-1%

              precision    recall  f1-score   support

           0       0.93      0.51      0.66  27764588
           1       0.54      0.93      0.68  17098553

    accuracy                           0.67  44863141
   macro avg       0.73      0.72      0.67  44863141
weighted avg       0.78      0.67      0.67  44863141

Accuracy: 0.672187397667943

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: 0.9353103562589742

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       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

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

Accuracy: 0.7691047573235649

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

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

Accuracy: 0.7691047573235649

0-1%

              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.73      0.69  17098553

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

Accuracy: 0.7503009207491735

1-10%

              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9349593057690195

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: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.86      0.81  28055468
           1       0.79      0.65      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.76  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7683008651371932

0-1%

              precision    recall  f1-score   support

           0       0.76      0.87      0.81  27764588
           1       0.73      0.55      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7494543906321672

1-10%

              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

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

Accuracy: 0.9345002224667373

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       0.70      0.94      0.80  28055468
           1       0.85      0.48      0.62  21729815

    accuracy                           0.74  49785283
   macro avg       0.78      0.71      0.71  49785283
weighted avg       0.77      0.74      0.72  49785283

Accuracy: 0.7378961569827774

0-1%

              precision    recall  f1-score   support

           0       0.70      0.95      0.80  27764588
           1       0.79      0.34      0.48  17098553

    accuracy                           0.72  44863141
   macro avg       0.75      0.64      0.64  44863141
weighted avg       0.74      0.72      0.68  44863141

Accuracy: 0.7158359019044164

1-10%

              precision    recall  f1-score   support

           0       0.09      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9332703104494682

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: 0.8

All

              precision    recall  f1-score   support

           0       0.66      0.97      0.78  28055468
           1       0.90      0.35      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.66      0.64  49785283
weighted avg       0.76      0.70      0.66  49785283

Accuracy: 0.6985757618370875

0-1%

              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.17      0.29  17098553

    accuracy                           0.67  44863141
   macro avg       0.75      0.58      0.54  44863141
weighted avg       0.73      0.67      0.60  44863141

Accuracy: 0.6725988490195103

1-10%

              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9292663583801007

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: 0.9

All

              precision    recall  f1-score   support

           0       0.63      0.99      0.77  28055468
           1       0.93      0.24      0.38  21729815

    accuracy                           0.66  49785283
   macro avg       0.78      0.61      0.57  49785283
weighted avg       0.76      0.66      0.60  49785283

Accuracy: 0.660436498874577

0-1%

              precision    recall  f1-score   support

           0       0.63      1.00      0.77  27764588
           1       0.87      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.75      0.52      0.43  44863141
weighted avg       0.72      0.63      0.51  44863141

Accuracy: 0.6329220238948494

1-10%

              precision    recall  f1-score   support

           0       0.10      0.07      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.52   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9025957297616473

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

0.1

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.52      0.67  26119367
           1       0.62      0.95      0.75  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.74      0.71  47734596
weighted avg       0.79      0.72      0.71  47734596

Accuracy: 0.7150650861274703

0-1%

              precision    recall  f1-score   support

           0       0.97      0.89      0.93  12053010
           1       0.12      0.36      0.18    508421

    accuracy                           0.87  12561431
   macro avg       0.55      0.63      0.56  12561431
weighted avg       0.94      0.87      0.90  12561431

Accuracy: 0.8705117275253114

1-10%

              precision    recall  f1-score   support

           0       0.78      0.22      0.34  13368467
           1       0.57      0.94      0.71  14466820

    accuracy                           0.59  27835287
   macro avg       0.67      0.58      0.52  27835287
weighted avg       0.67      0.59      0.53  27835287

Accuracy: 0.5948823161047343

10-20%

              precision    recall  f1-score   support

           0       0.41      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.64      0.50      0.47   3890639
weighted avg       0.81      0.87      0.81   3890639

Accuracy: 0.8705598232064193

20-40%

              precision    recall  f1-score   support

           0       1.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.97      0.50      0.48   2117913
weighted avg       0.94      0.93      0.90   2117913

Accuracy: 0.9303625786328333

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.774405653291797

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.774405653291797

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9506570549167527

1-10%

              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.6607267243193864

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: 0.868776311551907

20-40%

              precision    recall  f1-score   support

           0       0.51      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.72      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303621064699069

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.85      0.80  26119367
           1       0.79      0.67      0.72  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.76      0.76  47734596
weighted avg       0.77      0.77      0.77  47734596

Accuracy: 0.769907364461616

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.34      0.01      0.03    508421

    accuracy                           0.96  12561431
   macro avg       0.65      0.51      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9590054668134547

1-10%

              precision    recall  f1-score   support

           0       0.61      0.77      0.68  13368467
           1       0.71      0.54      0.62  14466820

    accuracy                           0.65  27835287
   macro avg       0.66      0.65      0.65  27835287
weighted avg       0.66      0.65      0.65  27835287

Accuracy: 0.6498689594973459

10-20%

              precision    recall  f1-score   support

           0       0.22      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.55      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8643158617389072

20-40%

              precision    recall  f1-score   support

           0       0.48      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.70      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303578570035691

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.93      0.79  26119367
           1       0.85      0.50      0.63  21615229

    accuracy                           0.73  47734596
   macro avg       0.77      0.71      0.71  47734596
weighted avg       0.76      0.73      0.72  47734596

Accuracy: 0.7345229862215656

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       0.54      0.91      0.68  13368467
           1       0.78      0.30      0.43  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.60      0.56  27835287
weighted avg       0.67      0.59      0.55  27835287

Accuracy: 0.5909023679188219

10-20%

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8504294538763427

20-40%

              precision    recall  f1-score   support

           0       0.34      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.63      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9302591749519457

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.64      0.97      0.77  26119367
           1       0.89      0.35      0.51  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.65  47734596

Accuracy: 0.6878355689864852

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       0.50      0.98      0.66  13368467
           1       0.83      0.09      0.17  14466820

    accuracy                           0.52  27835287
   macro avg       0.66      0.54      0.41  27835287
weighted avg       0.67      0.52      0.40  27835287

Accuracy: 0.518283824413235

10-20%

              precision    recall  f1-score   support

           0       0.18      0.16      0.17    503365
           1       0.88      0.89      0.88   3387274

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

Accuracy: 0.7975576762583215

20-40%

              precision    recall  f1-score   support

           0       0.22      0.00      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9295310997193936

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.61      0.98      0.75  26119367
           1       0.93      0.23      0.37  21615229

    accuracy                           0.64  47734596
   macro avg       0.77      0.61      0.56  47734596
weighted avg       0.75      0.64      0.58  47734596

Accuracy: 0.6433975056581603

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       0.89      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.68      0.50      0.32  27835287
weighted avg       0.69      0.48      0.31  27835287

Accuracy: 0.4803281532538177

10-20%

              precision    recall  f1-score   support

           0       0.15      0.58      0.24    503365
           1       0.89      0.52      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.52      0.55      0.45   3890639
weighted avg       0.80      0.53      0.60   3890639

Accuracy: 0.5282376493938399

20-40%

              precision    recall  f1-score   support

           0       0.13      0.02      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.53      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.921552018425686

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.54      0.68  24893266
           1       0.63      0.95      0.75  20563095

    accuracy                           0.72  45456361
   macro avg       0.78      0.74      0.72  45456361
weighted avg       0.79      0.72      0.71  45456361

Accuracy: 0.7215836965039942

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.02      0.11      0.03      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.55      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9942029264816264

1-10%

              precision    recall  f1-score   support

           0       0.89      0.50      0.64  16949103
           1       0.45      0.87      0.59   8016772

    accuracy                           0.62  24965875
   macro avg       0.67      0.68      0.62  24965875
weighted avg       0.75      0.62      0.62  24965875

Accuracy: 0.6173862121796252

10-20%

              precision    recall  f1-score   support

           0       0.47      0.02      0.04   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.51      0.44   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7257109986500236

20-40%

              precision    recall  f1-score   support

           0       0.51      0.00      0.01    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.68      0.50      0.46   4805513
weighted avg       0.79      0.84      0.78   4805513

Accuracy: 0.8449982343196242

40-80%

              precision    recall  f1-score   support

           0       0.85      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.88      0.50      0.48   2719684
weighted avg       0.91      0.91      0.87   2719684

Accuracy: 0.9132671295635817

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766741160824554

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766741160824554

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990601667547931

1-10%

              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.7211653907583851

10-20%

              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7134634542105298

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411586858676691

40-80%

              precision    recall  f1-score   support

           0       0.69      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.80      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9133101492673413

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.84      0.80  24893266
           1       0.78      0.68      0.73  20563095

    accuracy                           0.77  45456361
   macro avg       0.77      0.76      0.77  45456361
weighted avg       0.77      0.77      0.77  45456361

Accuracy: 0.771956426516412

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.27      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992014287761604

1-10%

              precision    recall  f1-score   support

           0       0.74      0.92      0.82  16949103
           1       0.64      0.31      0.42   8016772

    accuracy                           0.72  24965875
   macro avg       0.69      0.61      0.62  24965875
weighted avg       0.71      0.72      0.69  24965875

Accuracy: 0.7228112773936424

10-20%

              precision    recall  f1-score   support

           0       0.39      0.28      0.33   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6844078391732559

20-40%

              precision    recall  f1-score   support

           0       0.28      0.05      0.08    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.56      0.51      0.49   4805513
weighted avg       0.76      0.83      0.78   4805513

Accuracy: 0.8332977145208014

40-80%

              precision    recall  f1-score   support

           0       0.57      0.00      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.74      0.50      0.48   2719684
weighted avg       0.88      0.91      0.87   2719684

Accuracy: 0.9133123554059956

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.70      0.92      0.79  24893266
           1       0.84      0.52      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.77      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.7374155401484954

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       0.69      0.99      0.81  16949103
           1       0.73      0.07      0.12   8016772

    accuracy                           0.69  24965875
   macro avg       0.71      0.53      0.47  24965875
weighted avg       0.70      0.69      0.59  24965875

Accuracy: 0.692328187976588

10-20%

              precision    recall  f1-score   support

           0       0.35      0.55      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.58      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5909048831904664

20-40%

              precision    recall  f1-score   support

           0       0.25      0.11      0.15    744974
           1       0.85      0.94      0.89   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.53      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8113533352214425

40-80%

              precision    recall  f1-score   support

           0       0.43      0.01      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.67      0.50      0.48   2719684
weighted avg       0.87      0.91      0.87   2719684

Accuracy: 0.9130847554348226

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.88      0.36      0.51  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.69      0.65  45456361

Accuracy: 0.6874468239989558

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       0.29      0.90      0.44   2057494
           1       0.83      0.19      0.31   5461156

    accuracy                           0.38   7518650
   macro avg       0.56      0.54      0.37   7518650
weighted avg       0.68      0.38      0.34   7518650

Accuracy: 0.3815806029007867

20-40%

              precision    recall  f1-score   support

           0       0.22      0.28      0.25    744974
           1       0.86      0.82      0.84   4060539

    accuracy                           0.74   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.74      0.75   4805513

Accuracy: 0.7369554509580974

40-80%

              precision    recall  f1-score   support

           0       0.28      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.49   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9114066192984185

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.60      0.98      0.75  24893266
           1       0.91      0.22      0.36  20563095

    accuracy                           0.64  45456361
   macro avg       0.76      0.60      0.55  45456361
weighted avg       0.74      0.64      0.57  45456361

Accuracy: 0.6375316317115661

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       0.18      0.73      0.29    744974
           1       0.89      0.39      0.54   4060539

    accuracy                           0.44   4805513
   macro avg       0.53      0.56      0.41   4805513
weighted avg       0.78      0.44      0.50   4805513

Accuracy: 0.44214634316877305

40-80%

              precision    recall  f1-score   support

           0       0.18      0.05      0.08    235909
           1       0.92      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.55      0.52      0.51   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8964129656239475

80-90%

              precision    recall  f1-score   support

           0       1.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.97      0.50      0.48    315349
weighted avg       0.94      0.94      0.91    315349

Accuracy: 0.9410938357185213

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.93      0.55      0.69  22531902
           1       0.61      0.94      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.72108565469416

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       0.95      0.82      0.88  11439888
           1       0.29      0.65      0.40   1271288

    accuracy                           0.81  12711176
   macro avg       0.62      0.73      0.64  12711176
weighted avg       0.89      0.81      0.84  12711176

Accuracy: 0.8066911354228751

10-20%

              precision    recall  f1-score   support

           0       0.78      0.26      0.39   5044441
           1       0.48      0.90      0.63   3812372

    accuracy                           0.53   8856813
   macro avg       0.63      0.58      0.51   8856813
weighted avg       0.65      0.53      0.49   8856813

Accuracy: 0.534763351106092

20-40%

              precision    recall  f1-score   support

           0       0.60      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.52      0.45   8578813
weighted avg       0.64      0.66      0.55   8578813

Accuracy: 0.6582242788133976

40-80%

              precision    recall  f1-score   support

           0       0.54      0.01      0.03   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.67      0.51      0.46   6296625
weighted avg       0.74      0.79      0.71   6296625

Accuracy: 0.7947311456534254

80-90%

              precision    recall  f1-score   support

           0       0.78      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.82      0.50      0.46    810732
weighted avg       0.84      0.85      0.79    810732

Accuracy: 0.8547004435497797

90-100%

              precision    recall  f1-score   support

           0       0.80      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.50      0.47    666440
weighted avg       0.86      0.87      0.80    666440

Accuracy: 0.866621151191405

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763523876684107

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763523876684107

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       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945495680336737

10-20%

              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6475557291319124

20-40%

              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6683956160368573

40-80%

              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912060826236277

80-90%

              precision    recall  f1-score   support

           0       0.68      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551629885091497

90-100%

              precision    recall  f1-score   support

           0       0.75      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.866934757817658

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.79      0.82      0.81  22531902
           1       0.75      0.71      0.73  16938696

    accuracy                           0.78  39470598
   macro avg       0.77      0.77      0.77  39470598
weighted avg       0.78      0.78      0.78  39470598

Accuracy: 0.7772319030991119

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       0.91      0.99      0.95  11439888
           1       0.56      0.09      0.15   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.54      0.55  12711176
weighted avg       0.87      0.90      0.87  12711176

Accuracy: 0.9017052395466792

10-20%

              precision    recall  f1-score   support

           0       0.65      0.85      0.73   5044441
           1       0.66      0.40      0.50   3812372

    accuracy                           0.65   8856813
   macro avg       0.65      0.62      0.62   8856813
weighted avg       0.65      0.65      0.63   8856813

Accuracy: 0.6522827116255023

20-40%

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.78      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: 0.661567631792417

40-80%

              precision    recall  f1-score   support

           0       0.40      0.09      0.15   1295061
           1       0.80      0.96      0.88   5001564

    accuracy                           0.78   6296625
   macro avg       0.60      0.53      0.51   6296625
weighted avg       0.72      0.78      0.73   6296625

Accuracy: 0.7849125523593988

80-90%

              precision    recall  f1-score   support

           0       0.57      0.02      0.03    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.71      0.51      0.48    810732
weighted avg       0.81      0.86      0.79    810732

Accuracy: 0.8550273086544012

90-100%

              precision    recall  f1-score   support

           0       0.69      0.01      0.02     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.78      0.50      0.47    666440
weighted avg       0.84      0.87      0.81    666440

Accuracy: 0.8672438629133905

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.73      0.90      0.80  22531902
           1       0.80      0.56      0.66  16938696

    accuracy                           0.75  39470598
   macro avg       0.77      0.73      0.73  39470598
weighted avg       0.76      0.75      0.74  39470598

Accuracy: 0.751307314877773

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       0.73      0.00      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.81      0.50      0.48  12711176
weighted avg       0.88      0.90      0.85  12711176

Accuracy: 0.9001895654658546

10-20%

              precision    recall  f1-score   support

           0       0.59      0.97      0.74   5044441
           1       0.77      0.11      0.20   3812372

    accuracy                           0.60   8856813
   macro avg       0.68      0.54      0.47   8856813
weighted avg       0.67      0.60      0.51   8856813

Accuracy: 0.604077561533703

20-40%

              precision    recall  f1-score   support

           0       0.46      0.68      0.55   2995598
           1       0.77      0.57      0.65   5583215

    accuracy                           0.61   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.66      0.61      0.62   8578813

Accuracy: 0.6068312714124903

40-80%

              precision    recall  f1-score   support

           0       0.37      0.18      0.25   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.74   6296625

Accuracy: 0.7681297520497091

80-90%

              precision    recall  f1-score   support

           0       0.41      0.03      0.05    117971
           1       0.86      0.99      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.64      0.51      0.48    810732
weighted avg       0.79      0.85      0.79    810732

Accuracy: 0.8529218039993487

90-100%

              precision    recall  f1-score   support

           0       0.57      0.02      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.72      0.51      0.48    666440
weighted avg       0.83      0.87      0.81    666440

Accuracy: 0.8671028149570854

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.67      0.95      0.78  22531902
           1       0.84      0.37      0.52  16938696

    accuracy                           0.70  39470598
   macro avg       0.75      0.66      0.65  39470598
weighted avg       0.74      0.70      0.67  39470598

Accuracy: 0.7009521365751793

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       0.88      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.73      0.50      0.36   8856813
weighted avg       0.70      0.57      0.41   8856813

Accuracy: 0.5695592760059403

20-40%

              precision    recall  f1-score   support

           0       0.38      0.93      0.54   2995598
           1       0.84      0.20      0.32   5583215

    accuracy                           0.45   8578813
   macro avg       0.61      0.56      0.43   8578813
weighted avg       0.68      0.45      0.40   8578813

Accuracy: 0.45344979544372865

40-80%

              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.81   5001564

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

Accuracy: 0.7116874516109821

80-90%

              precision    recall  f1-score   support

           0       0.32      0.05      0.09    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.59      0.52      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8458010785314999

90-100%

              precision    recall  f1-score   support

           0       0.38      0.03      0.06     88944
           1       0.87      0.99      0.93    577496

    accuracy                           0.86    666440
   macro avg       0.62      0.51      0.49    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8637311685973231

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.62      0.98      0.76  22531902
           1       0.87      0.19      0.31  16938696

    accuracy                           0.64  39470598
   macro avg       0.74      0.58      0.53  39470598
weighted avg       0.73      0.64      0.56  39470598

Accuracy: 0.6394420728056869

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       0.95      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.65      0.50      0.26   8578813
weighted avg       0.74      0.35      0.18   8578813

Accuracy: 0.3491939968851169

40-80%

              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.87      0.40      0.55   5001564

    accuracy                           0.48   6296625
   macro avg       0.56      0.59      0.46   6296625
weighted avg       0.75      0.48      0.51   6296625

Accuracy: 0.4756038353880055

80-90%

              precision    recall  f1-score   support

           0       0.26      0.19      0.22    117971
           1       0.87      0.91      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.57      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8045198659976417

90-100%

              precision    recall  f1-score   support

           0       0.27      0.10      0.15     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.57      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.8436078266610647

LR_8

0.01

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.47      0.62  28055468
           1       0.58      0.95      0.72  21729815

    accuracy                           0.68  49785283
   macro avg       0.75      0.71      0.67  49785283
weighted avg       0.77      0.68      0.66  49785283

Accuracy: 0.6754580063349244

0-1%

              precision    recall  f1-score   support

           0       0.92      0.47      0.62  27764588
           1       0.52      0.93      0.67  17098553

    accuracy                           0.65  44863141
   macro avg       0.72      0.70      0.64  44863141
weighted avg       0.77      0.65      0.64  44863141

Accuracy: 0.6463347272095817

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       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7256453880155708

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7256452875842847

0-1%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.70273686365384

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7027367522037746

1-10%

              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9287387719431823

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.83      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.723140995936936

10-20%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.73  21520956

    accuracy                           0.72  49575563
   macro avg       0.74      0.74      0.72  49575563
weighted avg       0.75      0.72      0.72  49575563

Accuracy: 0.7245276266454099

              precision    recall  f1-score   support

           0       0.04      0.01      0.02      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.51      0.50      0.51    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.987464961491285

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.73  49706790
   macro avg       0.74      0.74      0.73  49706790
weighted avg       0.75      0.73      0.73  49706790

Accuracy: 0.7252297321955411

              precision    recall  f1-score   support

           0       0.02      0.02      0.02       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.51      0.51      0.51    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.990474521249438

40-80%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.73  49772193
   macro avg       0.74      0.74      0.73  49772193
weighted avg       0.75      0.73      0.73  49772193

Accuracy: 0.7255765885180104

              precision    recall  f1-score   support

           0       0.02      0.07      0.03       169
           1       1.00      0.99      0.99     65234

    accuracy                           0.99     65403
   macro avg       0.51      0.53      0.51     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.989190098313533

80-90%

              precision    recall  f1-score   support

           0       0.01      0.07      0.02        15
           1       1.00      0.99      0.99      7371

    accuracy                           0.99      7386
   macro avg       0.51      0.53      0.51      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9883563498510696

90-100%

              precision    recall  f1-score   support

           0       0.06      0.22      0.09        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.99      5704
   macro avg       0.53      0.61      0.54      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9857994389901823

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.77      0.75      0.76  28055468
           1       0.69      0.72      0.70  21729815

    accuracy                           0.74  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.74      0.74      0.74  49785283

Accuracy: 0.7356635293205022

0-1%

              precision    recall  f1-score   support

           0       0.78      0.76      0.77  27764588
           1       0.62      0.65      0.64  17098553

    accuracy                           0.72  44863141
   macro avg       0.70      0.70      0.70  44863141
weighted avg       0.72      0.72      0.72  44863141

Accuracy: 0.7159833726309979

1-10%

              precision    recall  f1-score   support

           0       0.09      0.05      0.06    287564
           1       0.94      0.97      0.95   4164787

    accuracy                           0.91   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.91      0.89   4452351

Accuracy: 0.9088562424660589

10-20%

              precision    recall  f1-score   support

           0       0.02      0.03      0.02      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.50      0.51      0.51    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9763910624406412

20-40%

              precision    recall  f1-score   support

           0       0.01      0.06      0.02       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9748451157155159

40-80%

              precision    recall  f1-score   support

           0       0.01      0.11      0.02       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.54      0.50     65403
weighted avg       1.00      0.96      0.98     65403

Accuracy: 0.9641759552314114

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: 0.9568101814243163

90-100%

              precision    recall  f1-score   support

           0       0.01      0.22      0.03        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.51      0.59      0.50      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9507363253856943

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.88      0.77  28055468
           1       0.76      0.50      0.60  21729815

    accuracy                           0.71  49785283
   macro avg       0.73      0.69      0.69  49785283
weighted avg       0.72      0.71      0.70  49785283

Accuracy: 0.7116202794307708

0-1%

              precision    recall  f1-score   support

           0       0.70      0.88      0.78  27764588
           1       0.68      0.39      0.50  17098553

    accuracy                           0.70  44863141
   macro avg       0.69      0.64      0.64  44863141
weighted avg       0.69      0.70      0.67  44863141

Accuracy: 0.6969017394479803

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: 0.8377809835747451

10-20%

              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.95      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9370979463300406

20-40%

              precision    recall  f1-score   support

           0       0.01      0.12      0.01       659
           1       1.00      0.92      0.96    130568

    accuracy                           0.92    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.92      0.95    131227

Accuracy: 0.91796657700016

40-80%

              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.88      0.94     65234

    accuracy                           0.88     65403
   macro avg       0.50      0.53      0.47     65403
weighted avg       1.00      0.88      0.93     65403

Accuracy: 0.8798067366940354

80-90%

              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.86      0.92      7371

    accuracy                           0.86      7386
   macro avg       0.50      0.50      0.46      7386
weighted avg       1.00      0.86      0.92      7386

Accuracy: 0.8575683725968047

90-100%

              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.86      0.92      5686

    accuracy                           0.85      5704
   macro avg       0.50      0.59      0.47      5704
weighted avg       0.99      0.85      0.92      5704

Accuracy: 0.8539621318373072

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.60      0.99      0.75  28055468
           1       0.90      0.15      0.26  21729815

    accuracy                           0.62  49785283
   macro avg       0.75      0.57      0.50  49785283
weighted avg       0.73      0.62      0.53  49785283

Accuracy: 0.6226645532978089

0-1%

              precision    recall  f1-score   support

           0       0.63      0.99      0.77  27764588
           1       0.78      0.05      0.09  17098553

    accuracy                           0.63  44863141
   macro avg       0.71      0.52      0.43  44863141
weighted avg       0.69      0.63      0.51  44863141

Accuracy: 0.6318400443696085

1-10%

              precision    recall  f1-score   support

           0       0.07      0.56      0.13    287564
           1       0.94      0.52      0.67   4164787

    accuracy                           0.52   4452351
   macro avg       0.51      0.54      0.40   4452351
weighted avg       0.89      0.52      0.64   4452351

Accuracy: 0.5229810048668669

10-20%

              precision    recall  f1-score   support

           0       0.01      0.25      0.02      2455
           1       0.99      0.76      0.86    257616

    accuracy                           0.76    260071
   macro avg       0.50      0.51      0.44    260071
weighted avg       0.98      0.76      0.86    260071

Accuracy: 0.7600386048425237

20-40%

              precision    recall  f1-score   support

           0       0.01      0.36      0.01       659
           1       1.00      0.67      0.80    130568

    accuracy                           0.67    131227
   macro avg       0.50      0.51      0.41    131227
weighted avg       0.99      0.67      0.80    131227

Accuracy: 0.6670807074763577

40-80%

              precision    recall  f1-score   support

           0       0.00      0.50      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: 0.5198232496980261

80-90%

              precision    recall  f1-score   support

           0       0.00      0.53      0.00        15
           1       1.00      0.42      0.59      7371

    accuracy                           0.42      7386
   macro avg       0.50      0.48      0.30      7386
weighted avg       1.00      0.42      0.59      7386

Accuracy: 0.4217438396967235

90-100%

              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.42      0.59      5686

    accuracy                           0.42      5704
   macro avg       0.50      0.49      0.30      5704
weighted avg       0.99      0.42      0.59      5704

Accuracy: 0.41917952314165496

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28055468
           1       0.95      0.03      0.06  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.51      0.39  49785283
weighted avg       0.74      0.58      0.44  49785283

Accuracy: 0.5763193713290733

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.56      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.59      0.50      0.38  44863141
weighted avg       0.60      0.62      0.47  44863141

Accuracy: 0.6189191256136078

1-10%

              precision    recall  f1-score   support

           0       0.07      0.92      0.13    287564
           1       0.96      0.14      0.24   4164787

    accuracy                           0.19   4452351
   macro avg       0.51      0.53      0.18   4452351
weighted avg       0.90      0.19      0.23   4452351

Accuracy: 0.18705465943722765

10-20%

              precision    recall  f1-score   support

           0       0.01      0.69      0.02      2455
           1       0.99      0.31      0.47    257616

    accuracy                           0.31    260071
   macro avg       0.50      0.50      0.24    260071
weighted avg       0.98      0.31      0.46    260071

Accuracy: 0.3102037520523242

20-40%

              precision    recall  f1-score   support

           0       0.00      0.90      0.01       659
           1       0.99      0.09      0.16    130568

    accuracy                           0.09    131227
   macro avg       0.50      0.49      0.08    131227
weighted avg       0.99      0.09      0.16    131227

Accuracy: 0.08940233336127473

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       1.00      0.00      0.00     65403

Accuracy: 0.00449520664189716

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      0.48      0.63  26119367
           1       0.60      0.95      0.73  21615229

    accuracy                           0.69  47734596
   macro avg       0.76      0.71      0.68  47734596
weighted avg       0.77      0.69      0.68  47734596

Accuracy: 0.6900730656649948

0-1%

              precision    recall  f1-score   support

           0       0.97      0.82      0.89  12053010
           1       0.08      0.40      0.14    508421

    accuracy                           0.80  12561431
   macro avg       0.53      0.61      0.51  12561431
weighted avg       0.93      0.80      0.86  12561431

Accuracy: 0.7982951942338417

1-10%

              precision    recall  f1-score   support

           0       0.76      0.20      0.31  13368467
           1       0.56      0.94      0.70  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.57      0.51  27835287
weighted avg       0.66      0.59      0.52  27835287

Accuracy: 0.5850971825797953

10-20%

              precision    recall  f1-score   support

           0       0.28      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: 0.8686557658009392

20-40%

              precision    recall  f1-score   support

           0       0.24      0.01      0.02    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.59      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9285985779396981

40-80%

              precision    recall  f1-score   support

           0       0.22      0.02      0.03     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.59      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9606002378164292

80-90%

              precision    recall  f1-score   support

           0       0.23      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.60      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9733948208584604

90-100%

              precision    recall  f1-score   support

           0       0.22      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.60      0.51      0.52     99395
weighted avg       0.96      0.97      0.97     99395

Accuracy: 0.9749484380502037

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341861236240482

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341861236240482

0-1%

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8826342317208923

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8826342317208923

1-10%

              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7066991432323785

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6273036451896472

10-20%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7194057437204934

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8513390730931346

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7281674904595965

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9113830454792052

40-80%

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7331493976205382

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9421988525131229

80-90%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.9537311748202135

90-100%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9557724231601187

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.77      0.74      0.76  26119367
           1       0.70      0.74      0.72  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7409371391767933

0-1%

              precision    recall  f1-score   support

           0       0.96      0.95      0.96  12053010
           1       0.11      0.15      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.92  12561431

Accuracy: 0.9176135266754242

1-10%

              precision    recall  f1-score   support

           0       0.62      0.59      0.61  13368467
           1       0.64      0.67      0.65  14466820

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

Accuracy: 0.6313735511331354

10-20%

              precision    recall  f1-score   support

           0       0.18      0.11      0.14    503365
           1       0.88      0.92      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: 0.8199527121380318

20-40%

              precision    recall  f1-score   support

           0       0.10      0.09      0.10    147488
           1       0.93      0.94      0.94   1970425

    accuracy                           0.88   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.88      0.88   2117913

Accuracy: 0.8805451404283368

40-80%

              precision    recall  f1-score   support

           0       0.06      0.09      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.91   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.91      0.92   1105895

Accuracy: 0.910039379868794

80-90%

              precision    recall  f1-score   support

           0       0.04      0.10      0.06      3093
           1       0.98      0.94      0.96    120943

    accuracy                           0.92    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.92      0.94    124036

Accuracy: 0.9204343900158019

90-100%

              precision    recall  f1-score   support

           0       0.04      0.10      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.94     99395

Accuracy: 0.922571557925449

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.54      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.71  47734596

Accuracy: 0.7148143455534849

0-1%

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.08      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.54  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9455579543445328

1-10%

              precision    recall  f1-score   support

           0       0.56      0.78      0.65  13368467
           1       0.68      0.43      0.53  14466820

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

Accuracy: 0.5979673570457528

10-20%

              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.79      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.75   3890639

Accuracy: 0.7277953570094784

20-40%

              precision    recall  f1-score   support

           0       0.10      0.24      0.14    147488
           1       0.94      0.83      0.88   1970425

    accuracy                           0.79   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.79      0.83   2117913

Accuracy: 0.7921571849268596

40-80%

              precision    recall  f1-score   support

           0       0.05      0.23      0.09     41616
           1       0.97      0.84      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8188960073062994

80-90%

              precision    recall  f1-score   support

           0       0.04      0.24      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.82    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.82      0.88    124036

Accuracy: 0.8241800767519107

90-100%

              precision    recall  f1-score   support

           0       0.03      0.23      0.06      2328
           1       0.98      0.84      0.90     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.88     99395

Accuracy: 0.8256954575179838

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.58      0.98      0.73  26119367
           1       0.85      0.15      0.26  21615229

    accuracy                           0.60  47734596
   macro avg       0.72      0.57      0.49  47734596
weighted avg       0.70      0.60      0.52  47734596

Accuracy: 0.6040380021232399

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.61      0.50      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9588680620862384

1-10%

              precision    recall  f1-score   support

           0       0.49      0.97      0.65  13368467
           1       0.72      0.07      0.12  14466820

    accuracy                           0.50  27835287
   macro avg       0.60      0.52      0.39  27835287
weighted avg       0.61      0.50      0.38  27835287

Accuracy: 0.5017235856055661

10-20%

              precision    recall  f1-score   support

           0       0.14      0.77      0.23    503365
           1       0.89      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.52      0.32   3890639
weighted avg       0.79      0.33      0.39   3890639

Accuracy: 0.33489614430945663

20-40%

              precision    recall  f1-score   support

           0       0.07      0.63      0.13    147488
           1       0.94      0.41      0.57   1970425

    accuracy                           0.43   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.43      0.54   2117913

Accuracy: 0.42843166834520585

40-80%

              precision    recall  f1-score   support

           0       0.04      0.59      0.08     41616
           1       0.97      0.46      0.62   1064279

    accuracy                           0.46   1105895
   macro avg       0.50      0.52      0.35   1105895
weighted avg       0.93      0.46      0.60   1105895

Accuracy: 0.4614669566278896

80-90%

              precision    recall  f1-score   support

           0       0.03      0.60      0.05      3093
           1       0.98      0.46      0.62    120943

    accuracy                           0.46    124036
   macro avg       0.50      0.53      0.34    124036
weighted avg       0.95      0.46      0.61    124036

Accuracy: 0.46047921571156764

90-100%

              precision    recall  f1-score   support

           0       0.02      0.57      0.05      2328
           1       0.98      0.45      0.62     97067

    accuracy                           0.46     99395
   macro avg       0.50      0.51      0.33     99395
weighted avg       0.96      0.46      0.61     99395

Accuracy: 0.45620001006086824

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: 0.5471720762023418

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: 0.9594990411522382

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       0.92      0.48      0.63  24893266
           1       0.60      0.95      0.74  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.72      0.68  45456361
weighted avg       0.77      0.69      0.68  45456361

Accuracy: 0.6929913945377194

0-1%

              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.00      0.18      0.01      3872

    accuracy                           0.95   4877461
   macro avg       0.50      0.56      0.49   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9517591222154314

1-10%

              precision    recall  f1-score   support

           0       0.88      0.43      0.58  16949103
           1       0.42      0.88      0.57   8016772

    accuracy                           0.58  24965875
   macro avg       0.65      0.66      0.57  24965875
weighted avg       0.73      0.58      0.58  24965875

Accuracy: 0.5750368052391515

10-20%

              precision    recall  f1-score   support

           0       0.45      0.03      0.05   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.72   7518650
   macro avg       0.59      0.51      0.44   7518650
weighted avg       0.65      0.72      0.62   7518650

Accuracy: 0.7249188351632274

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.76      0.84      0.78   4805513

Accuracy: 0.8414982958114982

40-80%

              precision    recall  f1-score   support

           0       0.26      0.02      0.04    235909
           1       0.91      0.99      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.58      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9094442589653798

80-90%

              precision    recall  f1-score   support

           0       0.23      0.03      0.05     18577
           1       0.94      0.99      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.59      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9372504748706988

90-100%

              precision    recall  f1-score   support

           0       0.22      0.03      0.05     13620
           1       0.95      0.99      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.58      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.9423588321271407

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366924730292422

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366924730292422

0-1%

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834992017363132

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834992017363132

1-10%

              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6596058820289695

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7125415536654481

10-20%

              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.7125601674386367

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7126340499956774

20-40%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.82      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7247647293475954

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8196529694124228

40-80%

              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8846141684107418

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344498985378521

80-90%

              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.9114885412669772

90-100%

              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9161088764483176

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.78      0.75      0.76  24893266
           1       0.71      0.74      0.72  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7428688363329392

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.07      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9929309532152076

1-10%

              precision    recall  f1-score   support

           0       0.77      0.77      0.77  16949103
           1       0.51      0.52      0.52   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6879734838053944

10-20%

              precision    recall  f1-score   support

           0       0.40      0.26      0.32   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6884822408278082

20-40%

              precision    recall  f1-score   support

           0       0.24      0.18      0.20    744974
           1       0.86      0.90      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7853706773865766

40-80%

              precision    recall  f1-score   support

           0       0.14      0.15      0.15    235909
           1       0.92      0.91      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: 0.846118151961772

80-90%

              precision    recall  f1-score   support

           0       0.10      0.15      0.12     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.87    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.87      0.88    315349

Accuracy: 0.8717547859672934

90-100%

              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.93    240209

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

Accuracy: 0.8770668442140181

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.70      0.86      0.77  24893266
           1       0.76      0.54      0.64  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7167501155668841

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.03      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9978810696794911

1-10%

              precision    recall  f1-score   support

           0       0.73      0.89      0.80  16949103
           1       0.56      0.29      0.38   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.67  24965875

Accuracy: 0.6979341601285755

10-20%

              precision    recall  f1-score   support

           0       0.34      0.52      0.41   2057494
           1       0.78      0.63      0.69   5461156

    accuracy                           0.60   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.60      0.62   7518650

Accuracy: 0.5978731554201885

20-40%

              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6913786311679939

40-80%

              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.79   2719684

Accuracy: 0.7468573554868875

80-90%

              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.82    315349

Accuracy: 0.7707206935807629

90-100%

              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7772910108774017

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.59      0.97      0.73  24893266
           1       0.83      0.17      0.28  20563095

    accuracy                           0.61  45456361
   macro avg       0.71      0.57      0.51  45456361
weighted avg       0.69      0.61      0.53  45456361

Accuracy: 0.6085714824378484

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.53      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991608338846789

1-10%

              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.62      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.52      0.46  24965875
weighted avg       0.67      0.69      0.59  24965875

Accuracy: 0.6863939677660006

10-20%

              precision    recall  f1-score   support

           0       0.28      0.90      0.43   2057494
           1       0.79      0.15      0.25   5461156

    accuracy                           0.35   7518650
   macro avg       0.54      0.52      0.34   7518650
weighted avg       0.66      0.35      0.30   7518650

Accuracy: 0.3544235999813796

20-40%

              precision    recall  f1-score   support

           0       0.17      0.81      0.28    744974
           1       0.88      0.26      0.40   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.77      0.35      0.38   4805513

Accuracy: 0.34678961434502414

40-80%

              precision    recall  f1-score   support

           0       0.10      0.72      0.17    235909
           1       0.93      0.37      0.53   2483775

    accuracy                           0.40   2719684
   macro avg       0.51      0.54      0.35   2719684
weighted avg       0.86      0.40      0.49   2719684

Accuracy: 0.39642436400699493

80-90%

              precision    recall  f1-score   support

           0       0.07      0.68      0.12     18577
           1       0.95      0.41      0.57    296772

    accuracy                           0.43    315349
   macro avg       0.51      0.54      0.35    315349
weighted avg       0.90      0.43      0.55    315349

Accuracy: 0.4260454290325956

90-100%

              precision    recall  f1-score   support

           0       0.06      0.67      0.11     13620
           1       0.96      0.42      0.58    240209

    accuracy                           0.43    253829
   macro avg       0.51      0.54      0.35    253829
weighted avg       0.91      0.43      0.56    253829

Accuracy: 0.4328110657174712

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       0.92      0.50      0.64  22531902
           1       0.58      0.95      0.72  16938696

    accuracy                           0.69  39470598
   macro avg       0.75      0.72      0.68  39470598
weighted avg       0.78      0.69      0.68  39470598

Accuracy: 0.6886571366362374

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: 0.9999606451359001

1-10%

              precision    recall  f1-score   support

           0       0.95      0.74      0.83  11439888
           1       0.22      0.67      0.33   1271288

    accuracy                           0.73  12711176
   macro avg       0.59      0.70      0.58  12711176
weighted avg       0.88      0.73      0.78  12711176

Accuracy: 0.7289502560581335

10-20%

              precision    recall  f1-score   support

           0       0.78      0.19      0.30   5044441
           1       0.46      0.93      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.46   8856813
weighted avg       0.65      0.51      0.44   8856813

Accuracy: 0.5069575252407384

20-40%

              precision    recall  f1-score   support

           0       0.59      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.52      0.45   8578813
weighted avg       0.63      0.66      0.55   8578813

Accuracy: 0.6575041325647266

40-80%

              precision    recall  f1-score   support

           0       0.41      0.05      0.08   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.60      0.51      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7901089869572986

80-90%

              precision    recall  f1-score   support

           0       0.33      0.05      0.08    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.60      0.51      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8478597119640029

90-100%

              precision    recall  f1-score   support

           0       0.32      0.05      0.08     88944
           1       0.87      0.98      0.92    577496

    accuracy                           0.86    666440
   macro avg       0.60      0.52      0.50    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8596662865374227

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380751363331257

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380751363331257

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: 0.9999987096765869

              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: 0.9999987096765869

1-10%

              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.8480883938385161

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.8295643927831697

10-20%

              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.7513015406011977

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5954560630330572

20-40%

              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660389963040342

40-80%

              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7348150177349102

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7679885653028408

80-90%

              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8173909504003789

90-100%

              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8274458315827381

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.79      0.76      0.77  22531902
           1       0.69      0.74      0.72  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.75      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7480763022642829

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: 0.9999993548382935

1-10%

              precision    recall  f1-score   support

           0       0.92      0.93      0.92  11439888
           1       0.31      0.30      0.30   1271288

    accuracy                           0.86  12711176
   macro avg       0.62      0.61      0.61  12711176
weighted avg       0.86      0.86      0.86  12711176

Accuracy: 0.863745494516007

10-20%

              precision    recall  f1-score   support

           0       0.68      0.64      0.66   5044441
           1       0.56      0.60      0.58   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6257444974845918

20-40%

              precision    recall  f1-score   support

           0       0.52      0.40      0.45   2995598
           1       0.71      0.80      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.60      0.60   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6613930155605443

40-80%

              precision    recall  f1-score   support

           0       0.34      0.30      0.32   1295061
           1       0.82      0.85      0.84   5001564

    accuracy                           0.74   6296625
   macro avg       0.58      0.57      0.58   6296625
weighted avg       0.72      0.74      0.73   6296625

Accuracy: 0.7355327655688564

80-90%

              precision    recall  f1-score   support

           0       0.25      0.28      0.27    117971
           1       0.88      0.86      0.87    692761

    accuracy                           0.77    810732
   macro avg       0.56      0.57      0.57    810732
weighted avg       0.78      0.77      0.78    810732

Accuracy: 0.7745383184578875

90-100%

              precision    recall  f1-score   support

           0       0.24      0.27      0.25     88944
           1       0.89      0.86      0.87    577496

    accuracy                           0.78    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.78      0.79    666440

Accuracy: 0.7838875217573975

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.72      0.86      0.78  22531902
           1       0.75      0.55      0.64  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.73      0.73      0.72  39470598

Accuracy: 0.7295519059528817

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       0.91      0.97      0.94  11439888
           1       0.37      0.17      0.24   1271288

    accuracy                           0.89  12711176
   macro avg       0.64      0.57      0.59  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8877083442161449

10-20%

              precision    recall  f1-score   support

           0       0.64      0.82      0.71   5044441
           1       0.61      0.38      0.47   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.60      0.59   8856813
weighted avg       0.62      0.63      0.61   8856813

Accuracy: 0.629026716494974

20-40%

              precision    recall  f1-score   support

           0       0.46      0.64      0.54   2995598
           1       0.76      0.60      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.65      0.62      0.62   8578813

Accuracy: 0.6154998366324106

40-80%

              precision    recall  f1-score   support

           0       0.30      0.53      0.39   1295061
           1       0.85      0.68      0.76   5001564

    accuracy                           0.65   6296625
   macro avg       0.58      0.61      0.57   6296625
weighted avg       0.74      0.65      0.68   6296625

Accuracy: 0.6527463522124948

80-90%

              precision    recall  f1-score   support

           0       0.22      0.50      0.31    117971
           1       0.89      0.70      0.79    692761

    accuracy                           0.67    810732
   macro avg       0.56      0.60      0.55    810732
weighted avg       0.79      0.67      0.72    810732

Accuracy: 0.6739588421327887

90-100%

              precision    recall  f1-score   support

           0       0.21      0.49      0.29     88944
           1       0.90      0.71      0.79    577496

    accuracy                           0.68    666440
   macro avg       0.55      0.60      0.54    666440
weighted avg       0.81      0.68      0.73    666440

Accuracy: 0.6813891723185883

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.62      0.96      0.76  22531902
           1       0.82      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.72      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.648759767967032

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      0.99      0.95  11439888
           1       0.47      0.06      0.10   1271288

    accuracy                           0.90  12711176
   macro avg       0.69      0.52      0.52  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.899239928705259

10-20%

              precision    recall  f1-score   support

           0       0.59      0.95      0.73   5044441
           1       0.68      0.13      0.22   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.54      0.48   8856813
weighted avg       0.63      0.60      0.51   8856813

Accuracy: 0.5995566351011362

20-40%

              precision    recall  f1-score   support

           0       0.39      0.90      0.54   2995598
           1       0.81      0.23      0.36   5583215

    accuracy                           0.47   8578813
   macro avg       0.60      0.57      0.45   8578813
weighted avg       0.66      0.47      0.43   8578813

Accuracy: 0.46709667176566266

40-80%

              precision    recall  f1-score   support

           0       0.24      0.84      0.38   1295061
           1       0.89      0.32      0.47   5001564

    accuracy                           0.43   6296625
   macro avg       0.56      0.58      0.42   6296625
weighted avg       0.75      0.43      0.45   6296625

Accuracy: 0.4279365533122903

80-90%

              precision    recall  f1-score   support

           0       0.18      0.82      0.29    117971
           1       0.92      0.35      0.50    692761

    accuracy                           0.42    810732
   macro avg       0.55      0.58      0.40    810732
weighted avg       0.81      0.42      0.47    810732

Accuracy: 0.41600306883162375

90-100%

              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.36      0.51    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.48    666440

Accuracy: 0.41627303283116257

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_id

0.01

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.93      0.50      0.65  28055468
           1       0.60      0.95      0.73  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.73      0.69  49785283
weighted avg       0.78      0.70      0.69  49785283

Accuracy: 0.6982908181921955

0-1%

              precision    recall  f1-score   support

           0       0.93      0.51      0.66  27764588
           1       0.54      0.93      0.68  17098553

    accuracy                           0.67  44863141
   macro avg       0.73      0.72      0.67  44863141
weighted avg       0.78      0.67      0.67  44863141

Accuracy: 0.6716834650520792

1-10%

              precision    recall  f1-score   support

           0       0.08      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: 0.9353038428461727

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       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

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

Accuracy: 0.7690767570810032

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

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

Accuracy: 0.769076736994746

0-1%

              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.73      0.69  17098553

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

Accuracy: 0.7502710744216505

1-10%

              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9349467281442995

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: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.86      0.81  28055468
           1       0.79      0.65      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.76  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7685307121785367

0-1%

              precision    recall  f1-score   support

           0       0.76      0.87      0.81  27764588
           1       0.73      0.55      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7497123083735934

1-10%

              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

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

Accuracy: 0.9344714736102342

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       0.70      0.94      0.80  28055468
           1       0.85      0.48      0.62  21729815

    accuracy                           0.74  49785283
   macro avg       0.78      0.71      0.71  49785283
weighted avg       0.77      0.74      0.72  49785283

Accuracy: 0.7377634671675964

0-1%

              precision    recall  f1-score   support

           0       0.70      0.95      0.80  27764588
           1       0.80      0.34      0.48  17098553

    accuracy                           0.72  44863141
   macro avg       0.75      0.64      0.64  44863141
weighted avg       0.74      0.72      0.68  44863141

Accuracy: 0.715694115131172

1-10%

              precision    recall  f1-score   support

           0       0.09      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: 0.9332152833413179

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: 0.8

All

              precision    recall  f1-score   support

           0       0.66      0.97      0.78  28055468
           1       0.90      0.35      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.66      0.64  49785283
weighted avg       0.76      0.70      0.66  49785283

Accuracy: 0.6984824410860535

0-1%

              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.17      0.29  17098553

    accuracy                           0.67  44863141
   macro avg       0.75      0.58      0.54  44863141
weighted avg       0.73      0.67      0.60  44863141

Accuracy: 0.6725060111150042

1-10%

              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9291583255677731

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: 0.9

All

              precision    recall  f1-score   support

           0       0.63      0.99      0.77  28055468
           1       0.93      0.24      0.38  21729815

    accuracy                           0.66  49785283
   macro avg       0.78      0.61      0.57  49785283
weighted avg       0.76      0.66      0.60  49785283

Accuracy: 0.6604382865514694

0-1%

              precision    recall  f1-score   support

           0       0.63      1.00      0.77  27764588
           1       0.87      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.75      0.52      0.43  44863141
weighted avg       0.72      0.63      0.51  44863141

Accuracy: 0.6329103662180051

1-10%

              precision    recall  f1-score   support

           0       0.11      0.07      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.52   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9027331852318022

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

0.1

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.52      0.67  26119367
           1       0.62      0.95      0.75  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.74      0.71  47734596
weighted avg       0.79      0.72      0.71  47734596

Accuracy: 0.7152016537439638

0-1%

              precision    recall  f1-score   support

           0       0.97      0.89      0.93  12053010
           1       0.12      0.36      0.18    508421

    accuracy                           0.87  12561431
   macro avg       0.55      0.63      0.56  12561431
weighted avg       0.94      0.87      0.90  12561431

Accuracy: 0.8707563652580665

1-10%

              precision    recall  f1-score   support

           0       0.78      0.22      0.34  13368467
           1       0.57      0.94      0.71  14466820

    accuracy                           0.60  27835287
   macro avg       0.67      0.58      0.52  27835287
weighted avg       0.67      0.60      0.53  27835287

Accuracy: 0.5950102831704233

10-20%

              precision    recall  f1-score   support

           0       0.34      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.61      0.50      0.47   3890639
weighted avg       0.80      0.87      0.81   3890639

Accuracy: 0.870530522107037

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744123779742474

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744123779742474

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9506700311453369

1-10%

              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.6607368912704223

10-20%

              precision    recall  f1-score   support

           0       0.26      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: 0.8687446972078365

20-40%

              precision    recall  f1-score   support

           0       0.49      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.71      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303611621440541

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.85      0.80  26119367
           1       0.79      0.67      0.72  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.76      0.76  47734596
weighted avg       0.77      0.77      0.77  47734596

Accuracy: 0.7698857239726089

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.34      0.01      0.03    508421

    accuracy                           0.96  12561431
   macro avg       0.65      0.51      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9590021232453532

1-10%

              precision    recall  f1-score   support

           0       0.61      0.77      0.68  13368467
           1       0.71      0.54      0.62  14466820

    accuracy                           0.65  27835287
   macro avg       0.66      0.65      0.65  27835287
weighted avg       0.66      0.65      0.65  27835287

Accuracy: 0.6498426619420162

10-20%

              precision    recall  f1-score   support

           0       0.22      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.55      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.864253918186704

20-40%

              precision    recall  f1-score   support

           0       0.42      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.67      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9303493580708934

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.93      0.79  26119367
           1       0.85      0.50      0.63  21615229

    accuracy                           0.73  47734596
   macro avg       0.77      0.71      0.71  47734596
weighted avg       0.76      0.73      0.72  47734596

Accuracy: 0.734535471924807

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       0.54      0.91      0.68  13368467
           1       0.78      0.30      0.43  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.60      0.56  27835287
weighted avg       0.67      0.59      0.55  27835287

Accuracy: 0.5909476342025861

10-20%

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.85027035404724

20-40%

              precision    recall  f1-score   support

           0       0.28      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.61      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9302379276202564

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.64      0.97      0.77  26119367
           1       0.89      0.35      0.51  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.65  47734596

Accuracy: 0.6878533967271871

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       0.50      0.98      0.66  13368467
           1       0.83      0.09      0.17  14466820

    accuracy                           0.52  27835287
   macro avg       0.66      0.54      0.41  27835287
weighted avg       0.67      0.52      0.40  27835287

Accuracy: 0.5183614237568307

10-20%

              precision    recall  f1-score   support

           0       0.18      0.16      0.17    503365
           1       0.88      0.89      0.88   3387274

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

Accuracy: 0.7972348501107401

20-40%

              precision    recall  f1-score   support

           0       0.21      0.00      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.57      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9295060750842928

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.61      0.98      0.75  26119367
           1       0.93      0.23      0.37  21615229

    accuracy                           0.64  47734596
   macro avg       0.77      0.61      0.56  47734596
weighted avg       0.75      0.64      0.58  47734596

Accuracy: 0.6434090067505757

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       0.89      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.68      0.50      0.32  27835287
weighted avg       0.69      0.48      0.31  27835287

Accuracy: 0.4803318176672653

10-20%

              precision    recall  f1-score   support

           0       0.15      0.58      0.24    503365
           1       0.89      0.52      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.52      0.55      0.45   3890639
weighted avg       0.80      0.53      0.60   3890639

Accuracy: 0.5284021467938814

20-40%

              precision    recall  f1-score   support

           0       0.13      0.02      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.53      0.51      0.50   2117913
weighted avg       0.88      0.92      0.89   2117913

Accuracy: 0.9214608909808855

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.54      0.68  24893266
           1       0.63      0.95      0.75  20563095

    accuracy                           0.72  45456361
   macro avg       0.78      0.74      0.72  45456361
weighted avg       0.79      0.72      0.71  45456361

Accuracy: 0.7215495978659621

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.02      0.11      0.03      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.55      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9941699175042097

1-10%

              precision    recall  f1-score   support

           0       0.89      0.50      0.64  16949103
           1       0.45      0.87      0.59   8016772

    accuracy                           0.62  24965875
   macro avg       0.67      0.68      0.62  24965875
weighted avg       0.75      0.62      0.62  24965875

Accuracy: 0.6173350223054469

10-20%

              precision    recall  f1-score   support

           0       0.47      0.02      0.04   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.51      0.44   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7257095356214214

20-40%

              precision    recall  f1-score   support

           0       0.50      0.00      0.01    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.67      0.50      0.46   4805513
weighted avg       0.79      0.84      0.78   4805513

Accuracy: 0.8449805463017164

40-80%

              precision    recall  f1-score   support

           0       0.72      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.82      0.50      0.48   2719684
weighted avg       0.90      0.91      0.87   2719684

Accuracy: 0.9132616142169457

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766542728750329

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766542508759116

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990593466559753

1-10%

              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.72113991598532

10-20%

              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7134387157268924

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411520268491626

40-80%

              precision    recall  f1-score   support

           0       0.66      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.79      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9132936032274338

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.84      0.80  24893266
           1       0.78      0.68      0.73  20563095

    accuracy                           0.77  45456361
   macro avg       0.77      0.76      0.77  45456361
weighted avg       0.77      0.77      0.77  45456361

Accuracy: 0.7719615963099202

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.26      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992012237514559

1-10%

              precision    recall  f1-score   support

           0       0.74      0.92      0.82  16949103
           1       0.64      0.31      0.42   8016772

    accuracy                           0.72  24965875
   macro avg       0.69      0.61      0.62  24965875
weighted avg       0.71      0.72      0.69  24965875

Accuracy: 0.722836591948009

10-20%

              precision    recall  f1-score   support

           0       0.39      0.28      0.33   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6843844307156205

20-40%

              precision    recall  f1-score   support

           0       0.28      0.05      0.08    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.56      0.51      0.50   4805513
weighted avg       0.76      0.83      0.78   4805513

Accuracy: 0.8332648356169258

40-80%

              precision    recall  f1-score   support

           0       0.54      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.73      0.50      0.48   2719684
weighted avg       0.88      0.91      0.87   2719684

Accuracy: 0.9132895586399008

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.70      0.92      0.79  24893266
           1       0.84      0.52      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.77      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.7374187960184494

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       0.69      0.99      0.81  16949103
           1       0.73      0.07      0.12   8016772

    accuracy                           0.69  24965875
   macro avg       0.71      0.53      0.47  24965875
weighted avg       0.70      0.69      0.59  24965875

Accuracy: 0.6923660396441143

10-20%

              precision    recall  f1-score   support

           0       0.35      0.55      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.58      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5908697705040133

20-40%

              precision    recall  f1-score   support

           0       0.25      0.11      0.15    744974
           1       0.85      0.94      0.89   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.53      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8112522013778758

40-80%

              precision    recall  f1-score   support

           0       0.42      0.01      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.67      0.50      0.48   2719684
weighted avg       0.87      0.91      0.87   2719684

Accuracy: 0.9130674740153636

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.88      0.36      0.51  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.69      0.65  45456361

Accuracy: 0.6873951480629961

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       0.29      0.90      0.44   2057494
           1       0.83      0.19      0.31   5461156

    accuracy                           0.38   7518650
   macro avg       0.56      0.54      0.37   7518650
weighted avg       0.68      0.38      0.34   7518650

Accuracy: 0.3814477333031861

20-40%

              precision    recall  f1-score   support

           0       0.22      0.28      0.25    744974
           1       0.86      0.82      0.84   4060539

    accuracy                           0.74   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.74      0.75   4805513

Accuracy: 0.7366915873497794

40-80%

              precision    recall  f1-score   support

           0       0.28      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.49   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9113764687368091

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.60      0.98      0.75  24893266
           1       0.91      0.22      0.36  20563095

    accuracy                           0.64  45456361
   macro avg       0.76      0.60      0.55  45456361
weighted avg       0.74      0.64      0.57  45456361

Accuracy: 0.6374343955953712

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       0.18      0.73      0.29    744974
           1       0.89      0.39      0.54   4060539

    accuracy                           0.44   4805513
   macro avg       0.53      0.56      0.41   4805513
weighted avg       0.78      0.44      0.50   4805513

Accuracy: 0.44132041677964456

40-80%

              precision    recall  f1-score   support

           0       0.18      0.05      0.08    235909
           1       0.92      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.55      0.52      0.51   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8962475052248717

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.93      0.55      0.69  22531902
           1       0.61      0.94      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.7211361733105741

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       0.95      0.82      0.88  11439888
           1       0.29      0.64      0.40   1271288

    accuracy                           0.81  12711176
   macro avg       0.62      0.73      0.64  12711176
weighted avg       0.89      0.81      0.84  12711176

Accuracy: 0.806773897238147

10-20%

              precision    recall  f1-score   support

           0       0.78      0.26      0.39   5044441
           1       0.48      0.90      0.63   3812372

    accuracy                           0.53   8856813
   macro avg       0.63      0.58      0.51   8856813
weighted avg       0.65      0.53      0.49   8856813

Accuracy: 0.5348625967376753

20-40%

              precision    recall  f1-score   support

           0       0.60      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.52      0.45   8578813
weighted avg       0.64      0.66      0.55   8578813

Accuracy: 0.65823360411283

40-80%

              precision    recall  f1-score   support

           0       0.54      0.01      0.03   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.67      0.51      0.46   6296625
weighted avg       0.74      0.79      0.71   6296625

Accuracy: 0.7947320985448554

80-90%

              precision    recall  f1-score   support

           0       0.78      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.82      0.50      0.46    810732
weighted avg       0.84      0.85      0.79    810732

Accuracy: 0.8546868755643049

90-100%

              precision    recall  f1-score   support

           0       0.79      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.50      0.46    666440
weighted avg       0.86      0.87      0.80    666440

Accuracy: 0.8666031450693236

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763886425029588

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763886425029588

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       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945675836759714

10-20%

              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6476544102263422

20-40%

              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6684277883198992

40-80%

              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912157703531654

80-90%

              precision    recall  f1-score   support

           0       0.68      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551580546962498

90-100%

              precision    recall  f1-score   support

           0       0.76      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.8669272552667907

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.79      0.83      0.81  22531902
           1       0.75      0.71      0.73  16938696

    accuracy                           0.78  39470598
   macro avg       0.77      0.77      0.77  39470598
weighted avg       0.78      0.78      0.78  39470598

Accuracy: 0.7772303576449487

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       0.91      0.99      0.95  11439888
           1       0.56      0.09      0.15   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.54      0.55  12711176
weighted avg       0.87      0.90      0.87  12711176

Accuracy: 0.9017020927095967

10-20%

              precision    recall  f1-score   support

           0       0.65      0.85      0.73   5044441
           1       0.66      0.40      0.50   3812372

    accuracy                           0.65   8856813
   macro avg       0.65      0.62      0.61   8856813
weighted avg       0.65      0.65      0.63   8856813

Accuracy: 0.6522328065411339

20-40%

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.78      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: 0.6616044667251751

40-80%

              precision    recall  f1-score   support

           0       0.40      0.09      0.15   1295061
           1       0.80      0.96      0.88   5001564

    accuracy                           0.78   6296625
   macro avg       0.60      0.53      0.51   6296625
weighted avg       0.72      0.78      0.73   6296625

Accuracy: 0.7849300220356143

80-90%

              precision    recall  f1-score   support

           0       0.57      0.02      0.03    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.71      0.51      0.48    810732
weighted avg       0.81      0.86      0.79    810732

Accuracy: 0.8550273086544012

90-100%

              precision    recall  f1-score   support

           0       0.69      0.01      0.02     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.78      0.50      0.47    666440
weighted avg       0.84      0.87      0.81    666440

Accuracy: 0.8672363603625233

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.73      0.90      0.80  22531902
           1       0.80      0.56      0.66  16938696

    accuracy                           0.75  39470598
   macro avg       0.77      0.73      0.73  39470598
weighted avg       0.76      0.75      0.74  39470598

Accuracy: 0.7512692612359204

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       0.73      0.00      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.81      0.50      0.48  12711176
weighted avg       0.88      0.90      0.85  12711176

Accuracy: 0.9001857892613555

10-20%

              precision    recall  f1-score   support

           0       0.59      0.97      0.74   5044441
           1       0.77      0.11      0.20   3812372

    accuracy                           0.60   8856813
   macro avg       0.68      0.54      0.47   8856813
weighted avg       0.67      0.60      0.51   8856813

Accuracy: 0.603929652799489

20-40%

              precision    recall  f1-score   support

           0       0.46      0.68      0.55   2995598
           1       0.77      0.57      0.65   5583215

    accuracy                           0.61   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.66      0.61      0.62   8578813

Accuracy: 0.6067868596739432

40-80%

              precision    recall  f1-score   support

           0       0.37      0.18      0.25   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.74   6296625

Accuracy: 0.7681667560002382

80-90%

              precision    recall  f1-score   support

           0       0.41      0.03      0.05    117971
           1       0.86      0.99      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.64      0.51      0.48    810732
weighted avg       0.79      0.85      0.79    810732

Accuracy: 0.8529205705461238

90-100%

              precision    recall  f1-score   support

           0       0.57      0.02      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.72      0.51      0.48    666440
weighted avg       0.83      0.87      0.81    666440

Accuracy: 0.8671103175079528

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.67      0.95      0.78  22531902
           1       0.84      0.37      0.52  16938696

    accuracy                           0.70  39470598
   macro avg       0.75      0.66      0.65  39470598
weighted avg       0.74      0.70      0.67  39470598

Accuracy: 0.7009194793552406

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       0.88      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.73      0.50      0.36   8856813
weighted avg       0.70      0.57      0.41   8856813

Accuracy: 0.569558598561356

20-40%

              precision    recall  f1-score   support

           0       0.38      0.93      0.54   2995598
           1       0.84      0.20      0.32   5583215

    accuracy                           0.45   8578813
   macro avg       0.61      0.56      0.43   8578813
weighted avg       0.68      0.45      0.40   8578813

Accuracy: 0.45323706205042585

40-80%

              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.81   5001564

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

Accuracy: 0.711772735393961

80-90%

              precision    recall  f1-score   support

           0       0.32      0.05      0.09    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.59      0.52      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.84579367781215

90-100%

              precision    recall  f1-score   support

           0       0.38      0.03      0.06     88944
           1       0.87      0.99      0.93    577496

    accuracy                           0.86    666440
   macro avg       0.62      0.51      0.49    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8637476742092312

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.62      0.98      0.76  22531902
           1       0.87      0.19      0.31  16938696

    accuracy                           0.64  39470598
   macro avg       0.74      0.58      0.53  39470598
weighted avg       0.73      0.64      0.56  39470598

Accuracy: 0.6394334081282478

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       0.95      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.65      0.50      0.26   8578813
weighted avg       0.74      0.35      0.18   8578813

Accuracy: 0.3491932974876594

40-80%

              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.87      0.40      0.55   5001564

    accuracy                           0.48   6296625
   macro avg       0.56      0.59      0.46   6296625
weighted avg       0.75      0.48      0.51   6296625

Accuracy: 0.47553379786790545

80-90%

              precision    recall  f1-score   support

           0       0.26      0.19      0.22    117971
           1       0.87      0.91      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.57      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8046358106007904

90-100%

              precision    recall  f1-score   support

           0       0.27      0.10      0.15     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.57      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.8436243322729728

LR_9

0.01

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.46      0.62  28055468
           1       0.58      0.95      0.72  21729815

    accuracy                           0.67  49785283
   macro avg       0.75      0.71      0.67  49785283
weighted avg       0.77      0.67      0.66  49785283

Accuracy: 0.6748175560235341

0-1%

              precision    recall  f1-score   support

           0       0.92      0.47      0.62  27764588
           1       0.52      0.93      0.67  17098553

    accuracy                           0.65  44863141
   macro avg       0.72      0.70      0.64  44863141
weighted avg       0.77      0.65      0.64  44863141

Accuracy: 0.6456711535199909

1-10%

              precision    recall  f1-score   support

           0       0.19      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.56      0.50      0.49   4452351
weighted avg       0.89      0.93      0.90   4452351

Accuracy: 0.9349646961796139

10-20%

              precision    recall  f1-score   support

           0       0.28      0.01      0.02      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.64      0.50      0.51    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9904141561342864

20-40%

              precision    recall  f1-score   support

           0       0.19      0.02      0.04       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.59      0.51      0.52    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9946504911336844

40-80%

              precision    recall  f1-score   support

           0       0.24      0.08      0.12       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.62      0.54      0.56     65403
weighted avg       1.00      1.00      1.00     65403

Accuracy: 0.9969726159350488

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       0.36      0.22      0.28        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.68      0.61      0.64      5704
weighted avg       1.00      1.00      1.00      5704

Accuracy: 0.9963183730715287

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.72  49785283
   macro avg       0.74      0.74      0.72  49785283
weighted avg       0.75      0.72      0.72  49785283

Accuracy: 0.7248628274343645

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.72  49785283
   macro avg       0.74      0.74      0.72  49785283
weighted avg       0.75      0.72      0.72  49785283

Accuracy: 0.72486278726185

0-1%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.701951341302652

1-10%

              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9280243179389944

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.84      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.7223619506827591

10-20%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.72  21520956

    accuracy                           0.72  49575563
   macro avg       0.74      0.74      0.72  49575563
weighted avg       0.75      0.72      0.72  49575563

Accuracy: 0.7237477867876155

              precision    recall  f1-score   support

           0       0.05      0.02      0.03      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.52      0.51      0.51    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.986534446362724

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.72  49706790
   macro avg       0.74      0.74      0.72  49706790
weighted avg       0.75      0.72      0.72  49706790

Accuracy: 0.7244478269467813

              precision    recall  f1-score   support

           0       0.03      0.04      0.03       659
           1       1.00      0.99      0.99    130568

    accuracy                           0.99    131227
   macro avg       0.51      0.52      0.51    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9889123427343458

40-80%

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.72  49772193
   macro avg       0.74      0.74      0.72  49772193
weighted avg       0.75      0.72      0.72  49772193

Accuracy: 0.7247940230401341

              precision    recall  f1-score   support

           0       0.02      0.08      0.03       169
           1       1.00      0.99      0.99     65234

    accuracy                           0.99     65403
   macro avg       0.51      0.54      0.51     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.9879057535587052

80-90%

              precision    recall  f1-score   support

           0       0.01      0.07      0.02        15
           1       1.00      0.99      0.99      7371

    accuracy                           0.99      7386
   macro avg       0.51      0.53      0.51      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9879501760086651

90-100%

              precision    recall  f1-score   support

           0       0.05      0.22      0.08        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.98      5704
   macro avg       0.52      0.60      0.54      5704
weighted avg       0.99      0.98      0.99      5704

Accuracy: 0.9847475455820477

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.78      0.75      0.76  28055468
           1       0.69      0.72      0.70  21729815

    accuracy                           0.74  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.74      0.74      0.74  49785283

Accuracy: 0.7358201016955151

0-1%

              precision    recall  f1-score   support

           0       0.78      0.75      0.77  27764588
           1       0.62      0.66      0.64  17098553

    accuracy                           0.72  44863141
   macro avg       0.70      0.70      0.70  44863141
weighted avg       0.72      0.72      0.72  44863141

Accuracy: 0.7158991609615564

1-10%

              precision    recall  f1-score   support

           0       0.09      0.04      0.06    287564
           1       0.94      0.97      0.95   4164787

    accuracy                           0.91   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.91      0.90   4452351

Accuracy: 0.911357842182703

10-20%

              precision    recall  f1-score   support

           0       0.02      0.04      0.03      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.51      0.51      0.51    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9765602470094705

20-40%

              precision    recall  f1-score   support

           0       0.02      0.06      0.02       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.98    131227
   macro avg       0.51      0.52      0.51    131227
weighted avg       0.99      0.98      0.98    131227

Accuracy: 0.9756528763135636

40-80%

              precision    recall  f1-score   support

           0       0.01      0.11      0.02       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.97     65403
   macro avg       0.50      0.54      0.50     65403
weighted avg       1.00      0.97      0.98     65403

Accuracy: 0.9674938458480498

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: 0.9615488762523694

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      0.50      5704
weighted avg       0.99      0.96      0.97      5704

Accuracy: 0.9565217391304348

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.88      0.77  28055468
           1       0.76      0.50      0.60  21729815

    accuracy                           0.71  49785283
   macro avg       0.73      0.69      0.69  49785283
weighted avg       0.72      0.71      0.70  49785283

Accuracy: 0.712129606655043

0-1%

              precision    recall  f1-score   support

           0       0.70      0.89      0.78  27764588
           1       0.68      0.39      0.49  17098553

    accuracy                           0.70  44863141
   macro avg       0.69      0.64      0.64  44863141
weighted avg       0.69      0.70      0.67  44863141

Accuracy: 0.6966158477401304

1-10%

              precision    recall  f1-score   support

           0       0.08      0.14      0.10    287564
           1       0.94      0.89      0.92   4164787

    accuracy                           0.85   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.85      0.86   4452351

Accuracy: 0.8456411006230191

10-20%

              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.95      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: 0.9417466768690088

20-40%

              precision    recall  f1-score   support

           0       0.01      0.12      0.02       659
           1       1.00      0.93      0.96    130568

    accuracy                           0.93    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.93      0.96    131227

Accuracy: 0.9254421727236011

40-80%

              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.89      0.94     65234

    accuracy                           0.89     65403
   macro avg       0.50      0.54      0.48     65403
weighted avg       1.00      0.89      0.94     65403

Accuracy: 0.8922067795055273

80-90%

              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.87      0.93      7371

    accuracy                           0.87      7386
   macro avg       0.50      0.50      0.47      7386
weighted avg       1.00      0.87      0.93      7386

Accuracy: 0.8701597617113458

90-100%

              precision    recall  f1-score   support

           0       0.01      0.33      0.02        18
           1       1.00      0.87      0.93      5686

    accuracy                           0.87      5704
   macro avg       0.50      0.60      0.47      5704
weighted avg       0.99      0.87      0.93      5704

Accuracy: 0.8702664796633941

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.60      0.99      0.75  28055468
           1       0.91      0.14      0.25  21729815

    accuracy                           0.62  49785283
   macro avg       0.76      0.57      0.50  49785283
weighted avg       0.74      0.62      0.53  49785283

Accuracy: 0.6201705833428727

0-1%

              precision    recall  f1-score   support

           0       0.63      0.99      0.77  27764588
           1       0.80      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.71      0.52      0.42  44863141
weighted avg       0.69      0.63      0.50  44863141

Accuracy: 0.6301739327614176

1-10%

              precision    recall  f1-score   support

           0       0.07      0.58      0.13    287564
           1       0.95      0.51      0.66   4164787

    accuracy                           0.51   4452351
   macro avg       0.51      0.54      0.40   4452351
weighted avg       0.89      0.51      0.63   4452351

Accuracy: 0.5123178743095501

10-20%

              precision    recall  f1-score   support

           0       0.01      0.25      0.02      2455
           1       0.99      0.76      0.86    257616

    accuracy                           0.76    260071
   macro avg       0.50      0.50      0.44    260071
weighted avg       0.98      0.76      0.85    260071

Accuracy: 0.7580083900165724

20-40%

              precision    recall  f1-score   support

           0       0.01      0.36      0.01       659
           1       1.00      0.67      0.80    130568

    accuracy                           0.66    131227
   macro avg       0.50      0.51      0.40    131227
weighted avg       0.99      0.66      0.79    131227

Accuracy: 0.6647412498952198

40-80%

              precision    recall  f1-score   support

           0       0.00      0.51      0.01       169
           1       1.00      0.51      0.67     65234

    accuracy                           0.51     65403
   macro avg       0.50      0.51      0.34     65403
weighted avg       0.99      0.51      0.67     65403

Accuracy: 0.5070409614237879

80-90%

              precision    recall  f1-score   support

           0       0.00      0.60      0.00        15
           1       1.00      0.40      0.57      7371

    accuracy                           0.40      7386
   macro avg       0.50      0.50      0.29      7386
weighted avg       1.00      0.40      0.57      7386

Accuracy: 0.4018413214189006

90-100%

              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.40      0.57      5686

    accuracy                           0.40      5704
   macro avg       0.50      0.53      0.29      5704
weighted avg       0.99      0.40      0.57      5704

Accuracy: 0.39779102384291726

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28055468
           1       0.95      0.03      0.06  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.51      0.39  49785283
weighted avg       0.74      0.58      0.44  49785283

Accuracy: 0.5761586410988163

0-1%

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.55      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.59      0.50      0.38  44863141
weighted avg       0.59      0.62      0.47  44863141

Accuracy: 0.6189119928094201

1-10%

              precision    recall  f1-score   support

           0       0.07      0.92      0.13    287564
           1       0.96      0.13      0.24   4164787

    accuracy                           0.19   4452351
   macro avg       0.51      0.53      0.18   4452351
weighted avg       0.90      0.19      0.23   4452351

Accuracy: 0.18560351598515032

10-20%

              precision    recall  f1-score   support

           0       0.01      0.69      0.02      2455
           1       0.99      0.30      0.47    257616

    accuracy                           0.31    260071
   macro avg       0.50      0.50      0.24    260071
weighted avg       0.98      0.31      0.46    260071

Accuracy: 0.30831196096450586

20-40%

              precision    recall  f1-score   support

           0       0.00      0.90      0.01       659
           1       0.99      0.08      0.15    130568

    accuracy                           0.08    131227
   macro avg       0.50      0.49      0.08    131227
weighted avg       0.99      0.08      0.15    131227

Accuracy: 0.08415950985696541

40-80%

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       1.00      0.00      0.00     65403

Accuracy: 0.0038683240829931347

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      0.48      0.63  26119367
           1       0.60      0.95      0.73  21615229

    accuracy                           0.69  47734596
   macro avg       0.76      0.71      0.68  47734596
weighted avg       0.77      0.69      0.68  47734596

Accuracy: 0.6898931123246544

0-1%

              precision    recall  f1-score   support

           0       0.97      0.81      0.89  12053010
           1       0.08      0.40      0.14    508421

    accuracy                           0.80  12561431
   macro avg       0.53      0.61      0.51  12561431
weighted avg       0.93      0.80      0.86  12561431

Accuracy: 0.7980078065946468

1-10%

              precision    recall  f1-score   support

           0       0.76      0.20      0.31  13368467
           1       0.56      0.94      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.57      0.51  27835287
weighted avg       0.66      0.58      0.52  27835287

Accuracy: 0.5849552404471347

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: 0.868560151687165

20-40%

              precision    recall  f1-score   support

           0       0.23      0.01      0.02    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9284191560276556

40-80%

              precision    recall  f1-score   support

           0       0.21      0.02      0.03     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.58      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9603850275116534

80-90%

              precision    recall  f1-score   support

           0       0.22      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.60      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9732335773485117

90-100%

              precision    recall  f1-score   support

           0       0.21      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.59      0.51      0.52     99395
weighted avg       0.96      0.97      0.97     99395

Accuracy: 0.974757281553398

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341014680421721

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341014680421721

0-1%

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8822924712956669

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8822924712956669

1-10%

              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7065304909176038

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6272131126221189

10-20%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7192857772027353

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8517246138744818

20-40%

              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7280703032220263

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9117621923091269

40-80%

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7330627863997863

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9425560292794524

80-90%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.954053661840111

90-100%

              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9561144926807184

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.77      0.74      0.76  26119367
           1       0.70      0.74      0.72  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7409823684272933

0-1%

              precision    recall  f1-score   support

           0       0.96      0.95      0.96  12053010
           1       0.11      0.15      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.92  12561431

Accuracy: 0.917398742229289

1-10%

              precision    recall  f1-score   support

           0       0.62      0.59      0.61  13368467
           1       0.64      0.67      0.65  14466820

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

Accuracy: 0.6313308714941578

10-20%

              precision    recall  f1-score   support

           0       0.19      0.11      0.14    503365
           1       0.88      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: 0.8207253358638517

20-40%

              precision    recall  f1-score   support

           0       0.10      0.09      0.10    147488
           1       0.93      0.94      0.94   1970425

    accuracy                           0.88   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.88      0.88   2117913

Accuracy: 0.8813931450442015

40-80%

              precision    recall  f1-score   support

           0       0.06      0.09      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.91   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.91      0.92   1105895

Accuracy: 0.9109671352162728

80-90%

              precision    recall  f1-score   support

           0       0.04      0.10      0.06      3093
           1       0.98      0.94      0.96    120943

    accuracy                           0.92    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.92      0.94    124036

Accuracy: 0.921490535005966

90-100%

              precision    recall  f1-score   support

           0       0.04      0.10      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.94     99395

Accuracy: 0.923436792595201

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.54      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.71  47734596

Accuracy: 0.7148481784574022

0-1%

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.07      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.54  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9455229264882321

1-10%

              precision    recall  f1-score   support

           0       0.56      0.78      0.65  13368467
           1       0.68      0.43      0.52  14466820

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

Accuracy: 0.5977541384789745

10-20%

              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.80      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.76   3890639

Accuracy: 0.72868389999689

20-40%

              precision    recall  f1-score   support

           0       0.10      0.23      0.14    147488
           1       0.94      0.84      0.88   1970425

    accuracy                           0.79   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.79      0.83   2117913

Accuracy: 0.7933744209511912

40-80%

              precision    recall  f1-score   support

           0       0.05      0.22      0.09     41616
           1       0.97      0.84      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8203654053956297

80-90%

              precision    recall  f1-score   support

           0       0.04      0.24      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.83    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.83      0.88    124036

Accuracy: 0.8257683253249056

90-100%

              precision    recall  f1-score   support

           0       0.03      0.22      0.06      2328
           1       0.98      0.84      0.90     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.88     99395

Accuracy: 0.8270335529956235

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.58      0.98      0.73  26119367
           1       0.85      0.15      0.26  21615229

    accuracy                           0.60  47734596
   macro avg       0.72      0.56      0.49  47734596
weighted avg       0.70      0.60      0.51  47734596

Accuracy: 0.6032625687247882

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9588855760143888

1-10%

              precision    recall  f1-score   support

           0       0.49      0.97      0.65  13368467
           1       0.72      0.07      0.12  14466820

    accuracy                           0.50  27835287
   macro avg       0.60      0.52      0.39  27835287
weighted avg       0.61      0.50      0.38  27835287

Accuracy: 0.5011759713488854

10-20%

              precision    recall  f1-score   support

           0       0.14      0.77      0.23    503365
           1       0.89      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.52      0.32   3890639
weighted avg       0.79      0.33      0.39   3890639

Accuracy: 0.33145146594171293

20-40%

              precision    recall  f1-score   support

           0       0.07      0.63      0.13    147488
           1       0.94      0.41      0.57   1970425

    accuracy                           0.43   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.43      0.54   2117913

Accuracy: 0.4257115377260539

40-80%

              precision    recall  f1-score   support

           0       0.04      0.59      0.08     41616
           1       0.97      0.45      0.62   1064279

    accuracy                           0.46   1105895
   macro avg       0.50      0.52      0.35   1105895
weighted avg       0.93      0.46      0.60   1105895

Accuracy: 0.4593474063993417

80-90%

              precision    recall  f1-score   support

           0       0.03      0.60      0.05      3093
           1       0.98      0.45      0.62    120943

    accuracy                           0.46    124036
   macro avg       0.50      0.53      0.34    124036
weighted avg       0.95      0.46      0.61    124036

Accuracy: 0.4583024283272598

90-100%

              precision    recall  f1-score   support

           0       0.02      0.57      0.05      2328
           1       0.98      0.45      0.62     97067

    accuracy                           0.45     99395
   macro avg       0.50      0.51      0.33     99395
weighted avg       0.96      0.45      0.60     99395

Accuracy: 0.45403692338648827

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: 0.5471723275923399

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: 0.95949999645741

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       0.92      0.48      0.63  24893266
           1       0.60      0.95      0.74  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.71      0.68  45456361
weighted avg       0.77      0.69      0.68  45456361

Accuracy: 0.6928225072834141

0-1%

              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.00      0.18      0.01      3872

    accuracy                           0.95   4877461
   macro avg       0.50      0.56      0.49   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9516457435538695

1-10%

              precision    recall  f1-score   support

           0       0.88      0.43      0.58  16949103
           1       0.42      0.88      0.57   8016772

    accuracy                           0.57  24965875
   macro avg       0.65      0.65      0.57  24965875
weighted avg       0.73      0.57      0.58  24965875

Accuracy: 0.5747385581318499

10-20%

              precision    recall  f1-score   support

           0       0.45      0.03      0.05   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.72   7518650
   macro avg       0.59      0.51      0.44   7518650
weighted avg       0.65      0.72      0.62   7518650

Accuracy: 0.7249386525506574

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.76      0.84      0.78   4805513

Accuracy: 0.8415222266592557

40-80%

              precision    recall  f1-score   support

           0       0.26      0.02      0.04    235909
           1       0.91      0.99      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.59      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9094619080746146

80-90%

              precision    recall  f1-score   support

           0       0.23      0.03      0.05     18577
           1       0.94      0.99      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.59      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9372853568585916

90-100%

              precision    recall  f1-score   support

           0       0.22      0.03      0.05     13620
           1       0.95      0.99      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.58      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.9423548924669758

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366477048173742

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366477048173742

0-1%

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834586068448318

1-10%

              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6594332463813105

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7123905651834634

10-20%

              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.7124592895035077

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7127320729120254

20-40%

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.83      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7246990863745559

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.96      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8198612718350777

40-80%

              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8848274284806618

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344011541111858

80-90%

              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.911764426080311

90-100%

              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9163767733395317

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.78      0.75      0.76  24893266
           1       0.71      0.74      0.72  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7428775039867358

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.07      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9929239823752563

1-10%

              precision    recall  f1-score   support

           0       0.77      0.77      0.77  16949103
           1       0.51      0.52      0.52   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6878690612686317

10-20%

              precision    recall  f1-score   support

           0       0.40      0.26      0.32   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6885870468767664

20-40%

              precision    recall  f1-score   support

           0       0.24      0.18      0.20    744974
           1       0.86      0.90      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7856116506187789

40-80%

              precision    recall  f1-score   support

           0       0.14      0.15      0.15    235909
           1       0.92      0.91      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: 0.8464549557963351

80-90%

              precision    recall  f1-score   support

           0       0.10      0.15      0.12     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.87    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.87      0.88    315349

Accuracy: 0.872087750397179

90-100%

              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.93    240209

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

Accuracy: 0.8773347411052322

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.70      0.86      0.77  24893266
           1       0.76      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7165926018582965

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.03      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9978864003218068

1-10%

              precision    recall  f1-score   support

           0       0.73      0.89      0.80  16949103
           1       0.56      0.29      0.38   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.67  24965875

Accuracy: 0.6978424349236708

10-20%

              precision    recall  f1-score   support

           0       0.34      0.52      0.41   2057494
           1       0.78      0.63      0.69   5461156

    accuracy                           0.60   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.60      0.62   7518650

Accuracy: 0.5973688095602269

20-40%

              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6911805253674269

40-80%

              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.79   2719684

Accuracy: 0.7467948482250144

80-90%

              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.82    315349

Accuracy: 0.770765088838081

90-100%

              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7773067695180613

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.59      0.97      0.73  24893266
           1       0.83      0.17      0.28  20563095

    accuracy                           0.61  45456361
   macro avg       0.71      0.57      0.50  45456361
weighted avg       0.69      0.61      0.53  45456361

Accuracy: 0.6076901976381259

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991612439340878

1-10%

              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.62      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.52      0.46  24965875
weighted avg       0.67      0.69      0.59  24965875

Accuracy: 0.6862799321073265

10-20%

              precision    recall  f1-score   support

           0       0.28      0.90      0.43   2057494
           1       0.79      0.15      0.25   5461156

    accuracy                           0.35   7518650
   macro avg       0.54      0.52      0.34   7518650
weighted avg       0.66      0.35      0.30   7518650

Accuracy: 0.3530458260458992

20-40%

              precision    recall  f1-score   support

           0       0.17      0.81      0.28    744974
           1       0.88      0.26      0.40   4060539

    accuracy                           0.34   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.77      0.34      0.38   4805513

Accuracy: 0.34364738998729166

40-80%

              precision    recall  f1-score   support

           0       0.10      0.72      0.17    235909
           1       0.93      0.36      0.52   2483775

    accuracy                           0.39   2719684
   macro avg       0.51      0.54      0.35   2719684
weighted avg       0.86      0.39      0.49   2719684

Accuracy: 0.39280519354454413

80-90%

              precision    recall  f1-score   support

           0       0.07      0.68      0.12     18577
           1       0.95      0.41      0.57    296772

    accuracy                           0.42    315349
   macro avg       0.51      0.54      0.35    315349
weighted avg       0.90      0.42      0.54    315349

Accuracy: 0.42275383781144066

90-100%

              precision    recall  f1-score   support

           0       0.06      0.67      0.11     13620
           1       0.96      0.42      0.58    240209

    accuracy                           0.43    253829
   macro avg       0.51      0.54      0.35    253829
weighted avg       0.91      0.43      0.55    253829

Accuracy: 0.4293638630731713

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       0.92      0.50      0.64  22531902
           1       0.58      0.95      0.72  16938696

    accuracy                           0.69  39470598
   macro avg       0.75      0.72      0.68  39470598
weighted avg       0.78      0.69      0.68  39470598

Accuracy: 0.6886203244247782

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: 0.9999606451359001

1-10%

              precision    recall  f1-score   support

           0       0.95      0.74      0.83  11439888
           1       0.22      0.67      0.33   1271288

    accuracy                           0.73  12711176
   macro avg       0.59      0.70      0.58  12711176
weighted avg       0.88      0.73      0.78  12711176

Accuracy: 0.7288902301407832

10-20%

              precision    recall  f1-score   support

           0       0.78      0.19      0.30   5044441
           1       0.46      0.93      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.46   8856813
weighted avg       0.65      0.51      0.44   8856813

Accuracy: 0.5068793932986956

20-40%

              precision    recall  f1-score   support

           0       0.59      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.52      0.45   8578813
weighted avg       0.63      0.66      0.55   8578813

Accuracy: 0.6574943410003226

40-80%

              precision    recall  f1-score   support

           0       0.41      0.05      0.08   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.60      0.51      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.790120580469696

80-90%

              precision    recall  f1-score   support

           0       0.33      0.05      0.08    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.60      0.51      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8478708130430278

90-100%

              precision    recall  f1-score   support

           0       0.32      0.05      0.08     88944
           1       0.87      0.98      0.92    577496

    accuracy                           0.86    666440
   macro avg       0.60      0.52      0.50    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8596722885781165

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380526385741609

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380526385741609

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: 0.9999987096765869

              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: 0.9999987096765869

1-10%

              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.848054175059208

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.8295260800416893

10-20%

              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.7512524446331575

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5953830119253958

20-40%

              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660222107650557

40-80%

              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7347891185175035

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7680354157981458

80-90%

              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8174538565148532

90-100%

              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8275118540303703

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.79      0.76      0.77  22531902
           1       0.69      0.74      0.72  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.75      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7480624945180714

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: 0.9999993548382935

1-10%

              precision    recall  f1-score   support

           0       0.92      0.93      0.92  11439888
           1       0.31      0.30      0.30   1271288

    accuracy                           0.86  12711176
   macro avg       0.62      0.61      0.61  12711176
weighted avg       0.86      0.86      0.86  12711176

Accuracy: 0.8637324351421143

10-20%

              precision    recall  f1-score   support

           0       0.68      0.64      0.66   5044441
           1       0.56      0.60      0.58   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6256777691930495

20-40%

              precision    recall  f1-score   support

           0       0.52      0.40      0.45   2995598
           1       0.71      0.80      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.60      0.60   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6613801932738247

40-80%

              precision    recall  f1-score   support

           0       0.34      0.30      0.32   1295061
           1       0.82      0.85      0.84   5001564

    accuracy                           0.74   6296625
   macro avg       0.58      0.57      0.58   6296625
weighted avg       0.72      0.74      0.73   6296625

Accuracy: 0.7355694518889088

80-90%

              precision    recall  f1-score   support

           0       0.25      0.28      0.27    117971
           1       0.88      0.86      0.87    692761

    accuracy                           0.77    810732
   macro avg       0.56      0.57      0.57    810732
weighted avg       0.78      0.77      0.78    810732

Accuracy: 0.7745901234933369

90-100%

              precision    recall  f1-score   support

           0       0.24      0.27      0.25     88944
           1       0.89      0.86      0.87    577496

    accuracy                           0.78    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.78      0.79    666440

Accuracy: 0.783961046755897

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.72      0.86      0.78  22531902
           1       0.75      0.55      0.64  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.73      0.73      0.72  39470598

Accuracy: 0.729504022209139

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       0.91      0.97      0.94  11439888
           1       0.37      0.17      0.24   1271288

    accuracy                           0.89  12711176
   macro avg       0.64      0.57      0.59  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8877047253535

10-20%

              precision    recall  f1-score   support

           0       0.64      0.82      0.71   5044441
           1       0.61      0.38      0.47   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.60      0.59   8856813
weighted avg       0.62      0.63      0.61   8856813

Accuracy: 0.6289582945919712

20-40%

              precision    recall  f1-score   support

           0       0.46      0.64      0.54   2995598
           1       0.76      0.60      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.65      0.62      0.62   8578813

Accuracy: 0.6154167249012189

40-80%

              precision    recall  f1-score   support

           0       0.30      0.53      0.39   1295061
           1       0.85      0.68      0.76   5001564

    accuracy                           0.65   6296625
   macro avg       0.58      0.61      0.57   6296625
weighted avg       0.74      0.65      0.68   6296625

Accuracy: 0.6526744089095349

80-90%

              precision    recall  f1-score   support

           0       0.22      0.50      0.31    117971
           1       0.89      0.70      0.79    692761

    accuracy                           0.67    810732
   macro avg       0.56      0.60      0.55    810732
weighted avg       0.79      0.67      0.72    810732

Accuracy: 0.673934173068289

90-100%

              precision    recall  f1-score   support

           0       0.21      0.49      0.29     88944
           1       0.90      0.71      0.79    577496

    accuracy                           0.68    666440
   macro avg       0.55      0.60      0.54    666440
weighted avg       0.81      0.68      0.73    666440

Accuracy: 0.6813111457895684

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.62      0.96      0.76  22531902
           1       0.82      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.72      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.6486366130049511

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      0.99      0.95  11439888
           1       0.47      0.06      0.10   1271288

    accuracy                           0.90  12711176
   macro avg       0.69      0.52      0.52  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.8992405580726756

10-20%

              precision    recall  f1-score   support

           0       0.59      0.95      0.73   5044441
           1       0.68      0.13      0.22   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.54      0.48   8856813
weighted avg       0.63      0.60      0.51   8856813

Accuracy: 0.5995083107207977

20-40%

              precision    recall  f1-score   support

           0       0.39      0.90      0.54   2995598
           1       0.81      0.23      0.36   5583215

    accuracy                           0.47   8578813
   macro avg       0.60      0.57      0.45   8578813
weighted avg       0.66      0.47      0.43   8578813

Accuracy: 0.46689093234693424

40-80%

              precision    recall  f1-score   support

           0       0.24      0.84      0.38   1295061
           1       0.89      0.32      0.47   5001564

    accuracy                           0.43   6296625
   macro avg       0.56      0.58      0.42   6296625
weighted avg       0.75      0.43      0.45   6296625

Accuracy: 0.42760097671371566

80-90%

              precision    recall  f1-score   support

           0       0.18      0.82      0.29    117971
           1       0.92      0.35      0.50    692761

    accuracy                           0.42    810732
   macro avg       0.55      0.58      0.40    810732
weighted avg       0.81      0.42      0.47    810732

Accuracy: 0.41565770192862744

90-100%

              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.36      0.51    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.48    666440

Accuracy: 0.4158483884520737

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_id

0.01

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.93      0.50      0.65  28055468
           1       0.60      0.95      0.73  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.73      0.69  49785283
weighted avg       0.78      0.70      0.69  49785283

Accuracy: 0.6972257444032205

0-1%

              precision    recall  f1-score   support

           0       0.93      0.51      0.66  27764588
           1       0.54      0.93      0.68  17098553

    accuracy                           0.67  44863141
   macro avg       0.73      0.72      0.67  44863141
weighted avg       0.78      0.67      0.67  44863141

Accuracy: 0.6705027630588772

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: 0.9352914898218941

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       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

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

Accuracy: 0.7691977968669979

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

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

Accuracy: 0.7691977968669979

0-1%

              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.74      0.69  17098553

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

Accuracy: 0.7504096960130366

1-10%

              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.934903604859545

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: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.87      0.81  28055468
           1       0.79      0.64      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.76  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7688077016655706

0-1%

              precision    recall  f1-score   support

           0       0.76      0.87      0.81  27764588
           1       0.73      0.55      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7500269987783512

1-10%

              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

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

Accuracy: 0.9343978046654453

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       0.70      0.94      0.80  28055468
           1       0.85      0.48      0.62  21729815

    accuracy                           0.74  49785283
   macro avg       0.78      0.71      0.71  49785283
weighted avg       0.77      0.74      0.72  49785283

Accuracy: 0.7375293216672083

0-1%

              precision    recall  f1-score   support

           0       0.70      0.95      0.80  27764588
           1       0.80      0.34      0.48  17098553

    accuracy                           0.72  44863141
   macro avg       0.75      0.64      0.64  44863141
weighted avg       0.74      0.72      0.68  44863141

Accuracy: 0.7154479665166557

1-10%

              precision    recall  f1-score   support

           0       0.10      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: 0.9330773786702801

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: 0.8

All

              precision    recall  f1-score   support

           0       0.66      0.97      0.78  28055468
           1       0.90      0.35      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.66      0.64  49785283
weighted avg       0.76      0.70      0.66  49785283

Accuracy: 0.698341777026757

0-1%

              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.17      0.29  17098553

    accuracy                           0.67  44863141
   macro avg       0.75      0.58      0.54  44863141
weighted avg       0.73      0.67      0.60  44863141

Accuracy: 0.6723767290391014

1-10%

              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9288881312367331

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: 0.9

All

              precision    recall  f1-score   support

           0       0.63      0.99      0.77  28055468
           1       0.93      0.24      0.38  21729815

    accuracy                           0.66  49785283
   macro avg       0.78      0.61      0.57  49785283
weighted avg       0.76      0.66      0.60  49785283

Accuracy: 0.6604677731770652

0-1%

              precision    recall  f1-score   support

           0       0.63      1.00      0.77  27764588
           1       0.87      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.75      0.52      0.43  44863141
weighted avg       0.72      0.63      0.51  44863141

Accuracy: 0.6329175213122059

1-10%

              precision    recall  f1-score   support

           0       0.10      0.07      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.52   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9029908019381221

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

0.1

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.52      0.67  26119367
           1       0.62      0.95      0.75  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.74      0.71  47734596
weighted avg       0.79      0.72      0.71  47734596

Accuracy: 0.7150067845970667

0-1%

              precision    recall  f1-score   support

           0       0.97      0.89      0.93  12053010
           1       0.12      0.36      0.18    508421

    accuracy                           0.87  12561431
   macro avg       0.55      0.63      0.56  12561431
weighted avg       0.94      0.87      0.90  12561431

Accuracy: 0.8705681701392143

1-10%

              precision    recall  f1-score   support

           0       0.78      0.22      0.34  13368467
           1       0.57      0.94      0.71  14466820

    accuracy                           0.59  27835287
   macro avg       0.67      0.58      0.52  27835287
weighted avg       0.67      0.59      0.53  27835287

Accuracy: 0.5947522653529672

10-20%

              precision    recall  f1-score   support

           0       0.47      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.67      0.50      0.47   3890639
weighted avg       0.82      0.87      0.81   3890639

Accuracy: 0.8705922086320524

20-40%

              precision    recall  f1-score   support

           0       0.83      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.88      0.50      0.48   2117913
weighted avg       0.92      0.93      0.90   2117913

Accuracy: 0.9303635229586862

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744482848456494

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744482848456494

0-1%

              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9507335589392641

1-10%

              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.660770338024537

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: 0.8687341590931464

20-40%

              precision    recall  f1-score   support

           0       0.67      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.80      0.50      0.48   2117913
weighted avg       0.91      0.93      0.90   2117913

Accuracy: 0.9303734383801412

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.85      0.80  26119367
           1       0.79      0.67      0.72  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.76      0.76  47734596
weighted avg       0.77      0.77      0.77  47734596

Accuracy: 0.769888635906754

0-1%

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.34      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.65      0.51      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9590201944348538

1-10%

              precision    recall  f1-score   support

           0       0.61      0.77      0.68  13368467
           1       0.72      0.54      0.62  14466820

    accuracy                           0.65  27835287
   macro avg       0.66      0.65      0.65  27835287
weighted avg       0.66      0.65      0.65  27835287

Accuracy: 0.6498366264375144

10-20%

              precision    recall  f1-score   support

           0       0.22      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.55      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8642641992742066

20-40%

              precision    recall  f1-score   support

           0       0.53      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.73      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303682445879505

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.93      0.79  26119367
           1       0.85      0.50      0.63  21615229

    accuracy                           0.73  47734596
   macro avg       0.77      0.71      0.71  47734596
weighted avg       0.76      0.73      0.72  47734596

Accuracy: 0.7344339313147219

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       0.54      0.91      0.68  13368467
           1       0.78      0.30      0.43  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.60      0.56  27835287
weighted avg       0.67      0.59      0.55  27835287

Accuracy: 0.5907556117528086

10-20%

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8503762492485167

20-40%

              precision    recall  f1-score   support

           0       0.39      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.66      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9302785336319291

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.64      0.97      0.77  26119367
           1       0.89      0.35      0.51  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.65  47734596

Accuracy: 0.6878022807608972

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       0.50      0.98      0.66  13368467
           1       0.83      0.09      0.17  14466820

    accuracy                           0.52  27835287
   macro avg       0.66      0.54      0.41  27835287
weighted avg       0.67      0.52      0.40  27835287

Accuracy: 0.5182305826413789

10-20%

              precision    recall  f1-score   support

           0       0.18      0.16      0.17    503365
           1       0.88      0.89      0.88   3387274

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

Accuracy: 0.7975322305667527

20-40%

              precision    recall  f1-score   support

           0       0.23      0.01      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9295273224159821

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.61      0.98      0.75  26119367
           1       0.93      0.23      0.37  21615229

    accuracy                           0.64  47734596
   macro avg       0.77      0.61      0.56  47734596
weighted avg       0.75      0.64      0.58  47734596

Accuracy: 0.6434244881846282

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       0.89      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.68      0.50      0.32  27835287
weighted avg       0.69      0.48      0.31  27835287

Accuracy: 0.48032851251003805

10-20%

              precision    recall  f1-score   support

           0       0.15      0.58      0.24    503365
           1       0.89      0.52      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.52      0.55      0.45   3890639
weighted avg       0.80      0.53      0.60   3890639

Accuracy: 0.5285951742117426

20-40%

              precision    recall  f1-score   support

           0       0.13      0.02      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.53      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.9214986640149997

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.54      0.68  24893266
           1       0.63      0.95      0.75  20563095

    accuracy                           0.72  45456361
   macro avg       0.78      0.74      0.72  45456361
weighted avg       0.79      0.72      0.71  45456361

Accuracy: 0.7214759008095699

0-1%

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.02      0.11      0.03      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.55      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.994172787850072

1-10%

              precision    recall  f1-score   support

           0       0.89      0.50      0.64  16949103
           1       0.45      0.87      0.59   8016772

    accuracy                           0.62  24965875
   macro avg       0.67      0.68      0.62  24965875
weighted avg       0.75      0.62      0.62  24965875

Accuracy: 0.6171907453674266

10-20%

              precision    recall  f1-score   support

           0       0.47      0.02      0.04   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.51      0.44   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7257084716006198

20-40%

              precision    recall  f1-score   support

           0       0.52      0.01      0.01    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.85   4805513
   macro avg       0.68      0.50      0.46   4805513
weighted avg       0.79      0.85      0.78   4805513

Accuracy: 0.84502237326171

40-80%

              precision    recall  f1-score   support

           0       0.87      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.89      0.50      0.48   2719684
weighted avg       0.91      0.91      0.87   2719684

Accuracy: 0.9132781602568534

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766574407485016

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766574187493803

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990599617300887

1-10%

              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.721119407991909

10-20%

              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7135057490373937

20-40%

              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411634720372206

40-80%

              precision    recall  f1-score   support

           0       0.71      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.81      0.50      0.48   2719684
weighted avg       0.90      0.91      0.87   2719684

Accuracy: 0.9133285337561275

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.76      0.84      0.80  24893266
           1       0.78      0.68      0.73  20563095

    accuracy                           0.77  45456361
   macro avg       0.77      0.76      0.77  45456361
weighted avg       0.77      0.77      0.77  45456361

Accuracy: 0.7719461529267598

0-1%

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.27      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992014287761604

1-10%

              precision    recall  f1-score   support

           0       0.74      0.92      0.82  16949103
           1       0.64      0.31      0.42   8016772

    accuracy                           0.72  24965875
   macro avg       0.69      0.61      0.62  24965875
weighted avg       0.71      0.72      0.69  24965875

Accuracy: 0.722776590045412

10-20%

              precision    recall  f1-score   support

           0       0.39      0.28      0.32   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6844458779169132

20-40%

              precision    recall  f1-score   support

           0       0.28      0.05      0.08    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.56      0.51      0.49   4805513
weighted avg       0.76      0.83      0.78   4805513

Accuracy: 0.8333097839918444

40-80%

              precision    recall  f1-score   support

           0       0.59      0.00      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.75      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9133325783436606

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.70      0.92      0.79  24893266
           1       0.84      0.52      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.77      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.7373577704559324

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       0.69      0.99      0.81  16949103
           1       0.73      0.07      0.12   8016772

    accuracy                           0.69  24965875
   macro avg       0.71      0.53      0.47  24965875
weighted avg       0.70      0.69      0.59  24965875

Accuracy: 0.6922714705573108

10-20%

              precision    recall  f1-score   support

           0       0.35      0.55      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.58      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5907341078518085

20-40%

              precision    recall  f1-score   support

           0       0.25      0.11      0.15    744974
           1       0.85      0.94      0.89   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.53      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8113581213909941

40-80%

              precision    recall  f1-score   support

           0       0.44      0.01      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.68      0.50      0.48   2719684
weighted avg       0.87      0.91      0.87   2719684

Accuracy: 0.9131035076133845

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.88      0.36      0.51  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.69      0.65  45456361

Accuracy: 0.6873564516086098

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       0.29      0.90      0.44   2057494
           1       0.83      0.19      0.30   5461156

    accuracy                           0.38   7518650
   macro avg       0.56      0.54      0.37   7518650
weighted avg       0.68      0.38      0.34   7518650

Accuracy: 0.38111828586248864

20-40%

              precision    recall  f1-score   support

           0       0.22      0.28      0.25    744974
           1       0.86      0.82      0.84   4060539

    accuracy                           0.74   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.74      0.75   4805513

Accuracy: 0.7368172763240886

40-80%

              precision    recall  f1-score   support

           0       0.29      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.49   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9114180176814659

80-90%

              precision    recall  f1-score   support

           0       1.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.97      0.50      0.48    315349
weighted avg       0.94      0.94      0.91    315349

Accuracy: 0.9410938357185213

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.60      0.98      0.75  24893266
           1       0.91      0.22      0.36  20563095

    accuracy                           0.64  45456361
   macro avg       0.76      0.60      0.55  45456361
weighted avg       0.74      0.64      0.57  45456361

Accuracy: 0.6374376294662039

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       0.18      0.73      0.29    744974
           1       0.89      0.39      0.54   4060539

    accuracy                           0.44   4805513
   macro avg       0.53      0.56      0.41   4805513
weighted avg       0.78      0.44      0.50   4805513

Accuracy: 0.4412812950459191

40-80%

              precision    recall  f1-score   support

           0       0.18      0.05      0.08    235909
           1       0.92      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.55      0.52      0.51   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8963681074713091

80-90%

              precision    recall  f1-score   support

           0       1.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.97      0.50      0.49    315349
weighted avg       0.94      0.94      0.91    315349

Accuracy: 0.9411065200777551

90-100%

              precision    recall  f1-score   support

           0       1.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.97      0.50      0.49    253829
weighted avg       0.95      0.95      0.92    253829

Accuracy: 0.9463497078741988

0.4

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.93      0.55      0.69  22531902
           1       0.61      0.94      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.7210986263750045

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       0.95      0.82      0.88  11439888
           1       0.29      0.64      0.40   1271288

    accuracy                           0.81  12711176
   macro avg       0.62      0.73      0.64  12711176
weighted avg       0.89      0.81      0.84  12711176

Accuracy: 0.8067427435510294

10-20%

              precision    recall  f1-score   support

           0       0.78      0.26      0.39   5044441
           1       0.48      0.90      0.63   3812372

    accuracy                           0.53   8856813
   macro avg       0.63      0.58      0.51   8856813
weighted avg       0.65      0.53      0.49   8856813

Accuracy: 0.5347455117320418

20-40%

              precision    recall  f1-score   support

           0       0.60      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.52      0.45   8578813
weighted avg       0.64      0.66      0.55   8578813

Accuracy: 0.6582191498987098

40-80%

              precision    recall  f1-score   support

           0       0.54      0.01      0.03   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.67      0.51      0.46   6296625
weighted avg       0.74      0.79      0.71   6296625

Accuracy: 0.794737815893435

80-90%

              precision    recall  f1-score   support

           0       0.78      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.82      0.50      0.46    810732
weighted avg       0.84      0.85      0.79    810732

Accuracy: 0.8547177118949295

90-100%

              precision    recall  f1-score   support

           0       0.78      0.00      0.00     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      0.80    666440

Accuracy: 0.866624152211752

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763814472737404

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763814726090544

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       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945713598804705

10-20%

              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6476143280884444

20-40%

              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6684184630204668

40-80%

              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912273638655629

80-90%

              precision    recall  f1-score   support

           0       0.69      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551790234010745

90-100%

              precision    recall  f1-score   support

           0       0.75      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.8669467618990456

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.79      0.83      0.81  22531902
           1       0.75      0.71      0.73  16938696

    accuracy                           0.78  39470598
   macro avg       0.77      0.77      0.77  39470598
weighted avg       0.78      0.78      0.78  39470598

Accuracy: 0.7772158911805694

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       0.91      0.99      0.95  11439888
           1       0.56      0.09      0.15   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.54      0.55  12711176
weighted avg       0.87      0.90      0.87  12711176

Accuracy: 0.9016999685945659

10-20%

              precision    recall  f1-score   support

           0       0.65      0.85      0.73   5044441
           1       0.66      0.40      0.49   3812372

    accuracy                           0.65   8856813
   macro avg       0.65      0.62      0.61   8856813
weighted avg       0.65      0.65      0.63   8856813

Accuracy: 0.6521726268805721

20-40%

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.78      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: 0.6615873314874681

40-80%

              precision    recall  f1-score   support

           0       0.40      0.09      0.15   1295061
           1       0.80      0.96      0.88   5001564

    accuracy                           0.78   6296625
   macro avg       0.60      0.53      0.51   6296625
weighted avg       0.72      0.78      0.73   6296625

Accuracy: 0.7849500327556429

80-90%

              precision    recall  f1-score   support

           0       0.57      0.02      0.03    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.71      0.51      0.48    810732
weighted avg       0.81      0.86      0.79    810732

Accuracy: 0.8550297755608511

90-100%

              precision    recall  f1-score   support

           0       0.69      0.01      0.02     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.78      0.50      0.47    666440
weighted avg       0.84      0.87      0.81    666440

Accuracy: 0.867248364443911

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.73      0.90      0.80  22531902
           1       0.80      0.56      0.66  16938696

    accuracy                           0.75  39470598
   macro avg       0.77      0.73      0.73  39470598
weighted avg       0.76      0.75      0.74  39470598

Accuracy: 0.7512346785321063

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       0.73      0.00      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.81      0.50      0.48  12711176
weighted avg       0.88      0.90      0.85  12711176

Accuracy: 0.9001832717916894

10-20%

              precision    recall  f1-score   support

           0       0.59      0.97      0.74   5044441
           1       0.77      0.11      0.20   3812372

    accuracy                           0.60   8856813
   macro avg       0.68      0.54      0.47   8856813
weighted avg       0.67      0.60      0.50   8856813

Accuracy: 0.603835488002287

20-40%

              precision    recall  f1-score   support

           0       0.46      0.68      0.55   2995598
           1       0.77      0.57      0.65   5583215

    accuracy                           0.61   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.66      0.61      0.62   8578813

Accuracy: 0.6066986190280637

40-80%

              precision    recall  f1-score   support

           0       0.37      0.18      0.25   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.74   6296625

Accuracy: 0.7682077303317253

80-90%

              precision    recall  f1-score   support

           0       0.41      0.03      0.05    117971
           1       0.86      0.99      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.64      0.51      0.48    810732
weighted avg       0.79      0.85      0.79    810732

Accuracy: 0.8529205705461238

90-100%

              precision    recall  f1-score   support

           0       0.57      0.02      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.72      0.51      0.48    666440
weighted avg       0.83      0.87      0.81    666440

Accuracy: 0.8671103175079528

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.67      0.95      0.78  22531902
           1       0.84      0.37      0.52  16938696

    accuracy                           0.70  39470598
   macro avg       0.75      0.66      0.65  39470598
weighted avg       0.74      0.70      0.67  39470598

Accuracy: 0.7008786894994599

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       0.87      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.72      0.50      0.36   8856813
weighted avg       0.70      0.57      0.41   8856813

Accuracy: 0.5695581469316333

20-40%

              precision    recall  f1-score   support

           0       0.38      0.93      0.54   2995598
           1       0.84      0.20      0.32   5583215

    accuracy                           0.45   8578813
   macro avg       0.61      0.56      0.43   8578813
weighted avg       0.68      0.45      0.40   8578813

Accuracy: 0.45304845786940456

40-80%

              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.81   5001564

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

Accuracy: 0.7117698767196713

80-90%

              precision    recall  f1-score   support

           0       0.32      0.05      0.09    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.59      0.52      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8458294479556746

90-100%

              precision    recall  f1-score   support

           0       0.38      0.03      0.06     88944
           1       0.87      0.99      0.93    577496

    accuracy                           0.86    666440
   macro avg       0.62      0.51      0.49    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8637491747194046

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.62      0.98      0.76  22531902
           1       0.87      0.19      0.31  16938696

    accuracy                           0.64  39470598
   macro avg       0.74      0.58      0.53  39470598
weighted avg       0.73      0.64      0.56  39470598

Accuracy: 0.6394140772835517

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       0.94      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.64      0.50      0.26   8578813
weighted avg       0.73      0.35      0.18   8578813

Accuracy: 0.34919236495771616

40-80%

              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.87      0.40      0.55   5001564

    accuracy                           0.48   6296625
   macro avg       0.56      0.59      0.46   6296625
weighted avg       0.75      0.48      0.51   6296625

Accuracy: 0.47539197586008375

80-90%

              precision    recall  f1-score   support

           0       0.26      0.19      0.22    117971
           1       0.87      0.91      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.57      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8047406541249142

90-100%

              precision    recall  f1-score   support

           0       0.27      0.10      0.15     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.57      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.8437038593121662

LR_id

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: 0.725482468383277

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: 0.7018476035817466

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       0.75      0.89      0.81  28055468
           1       0.81      0.62      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.75      0.76  49785283
weighted avg       0.78      0.77      0.76  49785283

Accuracy: 0.7704485881902088

              precision    recall  f1-score   support

           0       0.75      0.89      0.81  28055468
           1       0.81      0.62      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.75      0.76  49785283
weighted avg       0.78      0.77      0.76  49785283

Accuracy: 0.7704485881902088

0-1%

              precision    recall  f1-score   support

           0       0.75      0.90      0.82  27764588
           1       0.75      0.52      0.61  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7517471636682772

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: 0.6

All

              precision    recall  f1-score   support

           0       0.71      0.93      0.81  28055468
           1       0.85      0.52      0.64  21729815

    accuracy                           0.75  49785283
   macro avg       0.78      0.72      0.72  49785283
weighted avg       0.77      0.75      0.74  49785283

Accuracy: 0.748746733045587

0-1%

              precision    recall  f1-score   support

           0       0.71      0.94      0.81  27764588
           1       0.79      0.39      0.52  17098553

    accuracy                           0.73  44863141
   macro avg       0.75      0.66      0.67  44863141
weighted avg       0.74      0.73      0.70  44863141

Accuracy: 0.727664297958986

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: 0.7

All

              precision    recall  f1-score   support

           0       0.69      0.95      0.80  28055468
           1       0.87      0.44      0.58  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.69      0.69  49785283
weighted avg       0.77      0.73      0.70  49785283

Accuracy: 0.7268623139091125

0-1%

              precision    recall  f1-score   support

           0       0.69      0.96      0.80  27764588
           1       0.82      0.29      0.42  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.62      0.61  44863141
weighted avg       0.74      0.70      0.66  44863141

Accuracy: 0.7033788383207498

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: 0.8

All

              precision    recall  f1-score   support

           0       0.66      0.97      0.79  28055468
           1       0.90      0.37      0.52  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.67      0.65  49785283
weighted avg       0.76      0.70      0.67  49785283

Accuracy: 0.7049265342129319

0-1%

              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.20      0.32  17098553

    accuracy                           0.68  44863141
   macro avg       0.75      0.59      0.55  44863141
weighted avg       0.73      0.68      0.61  44863141

Accuracy: 0.6790363831190509

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: 0.9

All

              precision    recall  f1-score   support

           0       0.64      0.98      0.78  28055468
           1       0.92      0.29      0.45  21729815

    accuracy                           0.68  49785283
   macro avg       0.78      0.64      0.61  49785283
weighted avg       0.76      0.68      0.63  49785283

Accuracy: 0.6803179566138049

0-1%

              precision    recall  f1-score   support

           0       0.64      0.99      0.78  27764588
           1       0.86      0.10      0.18  17098553

    accuracy                           0.65  44863141
   macro avg       0.75      0.55      0.48  44863141
weighted avg       0.73      0.65      0.55  44863141

Accuracy: 0.6517278850359586

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

0.1

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.93      0.56      0.70  26119367
           1       0.64      0.95      0.76  21615229

    accuracy                           0.73  47734596
   macro avg       0.78      0.75      0.73  47734596
weighted avg       0.80      0.73      0.73  47734596

Accuracy: 0.7342635517434776

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       0.80      0.19      0.31  13368467
           1       0.56      0.96      0.71  14466820

    accuracy                           0.59  27835287
   macro avg       0.68      0.57      0.51  27835287
weighted avg       0.67      0.59      0.51  27835287

Accuracy: 0.5876273522884818

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.88      0.80  26119367
           1       0.81      0.63      0.71  21615229

    accuracy                           0.76  47734596
   macro avg       0.78      0.75      0.75  47734596
weighted avg       0.77      0.76      0.76  47734596

Accuracy: 0.7644793935199535

              precision    recall  f1-score   support

           0       0.74      0.88      0.80  26119367
           1       0.81      0.63      0.71  21615229

    accuracy                           0.76  47734596
   macro avg       0.78      0.75      0.75  47734596
weighted avg       0.77      0.76      0.76  47734596

Accuracy: 0.7644793935199535

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       0.59      0.82      0.68  13368467
           1       0.74      0.48      0.58  14466820

    accuracy                           0.64  27835287
   macro avg       0.66      0.65      0.63  27835287
weighted avg       0.67      0.64      0.63  27835287

Accuracy: 0.6394443499001825

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.70      0.92      0.79  26119367
           1       0.84      0.52      0.64  21615229

    accuracy                           0.74  47734596
   macro avg       0.77      0.72      0.72  47734596
weighted avg       0.77      0.74      0.73  47734596

Accuracy: 0.739951648485723

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       0.55      0.90      0.68  13368467
           1       0.77      0.32      0.45  14466820

    accuracy                           0.60  27835287
   macro avg       0.66      0.61      0.57  27835287
weighted avg       0.66      0.60      0.56  27835287

Accuracy: 0.597381841257825

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.67      0.95      0.78  26119367
           1       0.87      0.44      0.58  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.69      0.68  47734596
weighted avg       0.76      0.72      0.69  47734596

Accuracy: 0.7155299690815441

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       0.52      0.95      0.67  13368467
           1       0.80      0.19      0.31  14466820

    accuracy                           0.56  27835287
   macro avg       0.66      0.57      0.49  27835287
weighted avg       0.66      0.56      0.48  27835287

Accuracy: 0.5555012240398312

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.65      0.96      0.77  26119367
           1       0.89      0.36      0.52  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.66  47734596

Accuracy: 0.6910468667211512

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       0.50      0.98      0.66  13368467
           1       0.82      0.08      0.15  14466820

    accuracy                           0.51  27835287
   macro avg       0.66      0.53      0.40  27835287
weighted avg       0.66      0.51      0.39  27835287

Accuracy: 0.5135152728980305

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.62      0.98      0.76  26119367
           1       0.91      0.28      0.43  21615229

    accuracy                           0.66  47734596
   macro avg       0.77      0.63      0.60  47734596
weighted avg       0.75      0.66      0.61  47734596

Accuracy: 0.6634516609295279

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       0.16      0.19      0.17    503365
           1       0.88      0.86      0.87   3387274

    accuracy                           0.77   3890639
   macro avg       0.52      0.52      0.52   3890639
weighted avg       0.78      0.77      0.78   3890639

Accuracy: 0.7699007797947843

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298

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      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.56      0.70  24893266
           1       0.64      0.94      0.76  20563095

    accuracy                           0.74  45456361
   macro avg       0.78      0.75      0.73  45456361
weighted avg       0.79      0.74      0.73  45456361

Accuracy: 0.7350546164485098

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       0.89      0.54      0.67  16949103
           1       0.47      0.85      0.60   8016772

    accuracy                           0.64  24965875
   macro avg       0.68      0.70      0.64  24965875
weighted avg       0.75      0.64      0.65  24965875

Accuracy: 0.6407493428529943

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.36      0.50      0.42   7518650
weighted avg       0.53      0.73      0.61   7518650

Accuracy: 0.7263479481023855

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.74      0.87      0.80  24893266
           1       0.80      0.63      0.71  20563095

    accuracy                           0.76  45456361
   macro avg       0.77      0.75      0.75  45456361
weighted avg       0.77      0.76      0.76  45456361

Accuracy: 0.7605667334435328

              precision    recall  f1-score   support

           0       0.74      0.87      0.80  24893266
           1       0.80      0.63      0.71  20563095

    accuracy                           0.76  45456361
   macro avg       0.77      0.75      0.75  45456361
weighted avg       0.77      0.76      0.76  45456361

Accuracy: 0.7605667334435328

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       0.69      0.98      0.81  16949103
           1       0.64      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.66      0.52      0.46  24965875
weighted avg       0.67      0.69      0.58  24965875

Accuracy: 0.68720026836632

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.36      0.50      0.42   7518650
weighted avg       0.53      0.73      0.61   7518650

Accuracy: 0.7263479481023855

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.70      0.91      0.79  24893266
           1       0.83      0.53      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.76      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.736144276925291

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       0.32      0.40      0.36   2057494
           1       0.75      0.68      0.72   5461156

    accuracy                           0.61   7518650
   macro avg       0.54      0.54      0.54   7518650
weighted avg       0.64      0.61      0.62   7518650

Accuracy: 0.606286101893292

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.67      0.94      0.78  24893266
           1       0.85      0.44      0.58  20563095

    accuracy                           0.71  45456361
   macro avg       0.76      0.69      0.68  45456361
weighted avg       0.75      0.71      0.69  45456361

Accuracy: 0.7109227463236664

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       0.30      0.73      0.42   2057494
           1       0.78      0.35      0.48   5461156

    accuracy                           0.45   7518650
   macro avg       0.54      0.54      0.45   7518650
weighted avg       0.65      0.45      0.47   7518650

Accuracy: 0.4538014138176401

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.87      0.36      0.51  20563095

    accuracy                           0.68  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.68      0.65  45456361

Accuracy: 0.6849614732688347

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       0.28      0.97      0.43   2057494
           1       0.80      0.04      0.08   5461156

    accuracy                           0.30   7518650
   macro avg       0.54      0.51      0.26   7518650
weighted avg       0.65      0.30      0.18   7518650

Accuracy: 0.296844380307635

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.62      0.97      0.76  24893266
           1       0.89      0.27      0.41  20563095

    accuracy                           0.65  45456361
   macro avg       0.75      0.62      0.58  45456361
weighted avg       0.74      0.65      0.60  45456361

Accuracy: 0.6549297467960534

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       0.18      0.46      0.26    744974
           1       0.86      0.62      0.72   4060539

    accuracy                           0.60   4805513
   macro avg       0.52      0.54      0.49   4805513
weighted avg       0.76      0.60      0.65   4805513

Accuracy: 0.597185149639591

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.3

All

              precision    recall  f1-score   support

           0       0.92      0.56      0.70  22531902
           1       0.62      0.93      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.7219948631130443

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       0.91      0.98      0.94  11439888
           1       0.28      0.08      0.13   1271288

    accuracy                           0.89  12711176
   macro avg       0.59      0.53      0.53  12711176
weighted avg       0.84      0.89      0.86  12711176

Accuracy: 0.8874208019777242

10-20%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.22      0.50      0.30   8856813
weighted avg       0.19      0.43      0.26   8856813

Accuracy: 0.43044512738385693

20-40%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.33      0.50      0.39   8578813
weighted avg       0.42      0.65      0.51   8578813

Accuracy: 0.6508143958843724

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.5

All

              precision    recall  f1-score   support

           0       0.76      0.83      0.79  22531902
           1       0.74      0.65      0.69  16938696

    accuracy                           0.75  39470598
   macro avg       0.75      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7523183459242244

              precision    recall  f1-score   support

           0       0.76      0.83      0.79  22531902
           1       0.74      0.65      0.69  16938696

    accuracy                           0.75  39470598
   macro avg       0.75      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7523183459242244

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       0.43      0.20      0.27   2995598
           1       0.67      0.86      0.75   5583215

    accuracy                           0.63   8578813
   macro avg       0.55      0.53      0.51   8578813
weighted avg       0.58      0.63      0.58   8578813

Accuracy: 0.6280945860458784

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.6

All

              precision    recall  f1-score   support

           0       0.72      0.88      0.79  22531902
           1       0.77      0.54      0.63  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.74      0.73      0.72  39470598

Accuracy: 0.7331811136988601

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       0.39      0.58      0.47   2995598
           1       0.70      0.52      0.59   5583215

    accuracy                           0.54   8578813
   macro avg       0.55      0.55      0.53   8578813
weighted avg       0.59      0.54      0.55   8578813

Accuracy: 0.5400453419371655

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.7

All

              precision    recall  f1-score   support

           0       0.68      0.91      0.78  22531902
           1       0.79      0.44      0.56  16938696

    accuracy                           0.71  39470598
   macro avg       0.74      0.68      0.67  39470598
weighted avg       0.73      0.71      0.69  39470598

Accuracy: 0.709834165674409

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       0.37      0.85      0.51   2995598
           1       0.72      0.21      0.32   5583215

    accuracy                           0.43   8578813
   macro avg       0.54      0.53      0.42   8578813
weighted avg       0.60      0.43      0.39   8578813

Accuracy: 0.4326274509072526

40-80%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.8

All

              precision    recall  f1-score   support

           0       0.65      0.94      0.77  22531902
           1       0.81      0.34      0.48  16938696

    accuracy                           0.68  39470598
   macro avg       0.73      0.64      0.63  39470598
weighted avg       0.72      0.68      0.65  39470598

Accuracy: 0.6829961887073512

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       0.25      0.14      0.18   1295061
           1       0.80      0.90      0.85   5001564

    accuracy                           0.74   6296625
   macro avg       0.53      0.52      0.51   6296625
weighted avg       0.69      0.74      0.71   6296625

Accuracy: 0.7397748793996785

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.9

All

              precision    recall  f1-score   support

           0       0.62      0.97      0.76  22531902
           1       0.83      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.73      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.6488187739136864

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       0.23      0.57      0.33   1295061
           1       0.82      0.51      0.63   5001564

    accuracy                           0.53   6296625
   macro avg       0.53      0.54      0.48   6296625
weighted avg       0.70      0.53      0.57   6296625

Accuracy: 0.5255326464574276

80-90%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819

90-100%

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Individual Workload Result

zipf_1_15

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	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_9_id[cache_size=0.01,treshold=0.9]	9412294	0.404407	../../result/log/zipf_1_15	0.01	1
LR_8_id[cache_size=0.01,treshold=0.9]	9413482	0.404407	../../result/log/zipf_1_15	0.01	1
LR_7_id[cache_size=0.01,treshold=0.9]	9413823	0.404408	../../result/log/zipf_1_15	0.01	1
LR_id[cache_size=0.01,treshold=0.9]	9121234	0.404414	../../result/log/zipf_1_15	0.01	1
LR_9_id[cache_size=0.01,treshold=0.8]	8857057	0.404623	../../result/log/zipf_1_15	0.01	1
LR_8_id[cache_size=0.01,treshold=0.8]	8855216	0.404628	../../result/log/zipf_1_15	0.01	1
LR_7_id[cache_size=0.01,treshold=0.8]	8853701	0.404632	../../result/log/zipf_1_15	0.01	1
LR_id[cache_size=0.01,treshold=0.8]	8730228	0.404643	../../result/log/zipf_1_15	0.01	1
LR_9[cache_size=0.01,treshold=0.8]	9773902	0.404839	../../result/log/zipf_1_15	0.01	1
LR_8[cache_size=0.01,treshold=0.8]	9740182	0.404872	../../result/log/zipf_1_15	0.01	1
LR_7[cache_size=0.01,treshold=0.8]	9723106	0.404903	../../result/log/zipf_1_15	0.01	1
LR_8[cache_size=0.01,treshold=0.9]	10298833	0.405037	../../result/log/zipf_1_15	0.01	1
LR_9[cache_size=0.01,treshold=0.9]	10299939	0.405037	../../result/log/zipf_1_15	0.01	1
LR_7[cache_size=0.01,treshold=0.9]	10300318	0.40504	../../result/log/zipf_1_15	0.01	1
LR_id[cache_size=0.01,treshold=0.7]	8319018	0.40508	../../result/log/zipf_1_15	0.01	1
Offline Clock 1st iteration	10440959	0.405173	../../result/log/zipf_1_15	0.01	1
LR_9_id[cache_size=0.01,treshold=0.7]	8064502	0.405647	../../result/log/zipf_1_15	0.01	1
LR_8_id[cache_size=0.01,treshold=0.7]	8053538	0.405681	../../result/log/zipf_1_15	0.01	1
LR_7_id[cache_size=0.01,treshold=0.7]	8046727	0.4057	../../result/log/zipf_1_15	0.01	1
LR_id[cache_size=0.01,treshold=0.6]	7804490	0.405898	../../result/log/zipf_1_15	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7071443	0.407551	../../result/log/zipf_1_15	0.01	1
LR_9_id[cache_size=0.01,treshold=0.6]	6818754	0.408866	../../result/log/zipf_1_15	0.01	1
LR_8_id[cache_size=0.01,treshold=0.6]	6798818	0.40897	../../result/log/zipf_1_15	0.01	1
LR_7_id[cache_size=0.01,treshold=0.6]	6788341	0.409028	../../result/log/zipf_1_15	0.01	1
LR_9[cache_size=0.01,treshold=0.7]	7446464	0.409234	../../result/log/zipf_1_15	0.01	1
LR_8[cache_size=0.01,treshold=0.7]	7439896	0.409298	../../result/log/zipf_1_15	0.01	1
LR_7[cache_size=0.01,treshold=0.7]	7445242	0.409313	../../result/log/zipf_1_15	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5352939	0.414505	../../result/log/zipf_1_15	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5350429	0.414545	../../result/log/zipf_1_15	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5352334	0.414548	../../result/log/zipf_1_15	0.01	1
LR_7[cache_size=0.01,treshold=0.6]	5624188	0.415091	../../result/log/zipf_1_15	0.01	1
LR_8[cache_size=0.01,treshold=0.6]	5603042	0.415147	../../result/log/zipf_1_15	0.01	1
LR_9[cache_size=0.01,treshold=0.6]	5577121	0.415205	../../result/log/zipf_1_15	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4377254	0.420167	../../result/log/zipf_1_15	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4370271	0.420208	../../result/log/zipf_1_15	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4350655	0.420286	../../result/log/zipf_1_15	0.01	1
LR_id[cache_size=0.01,treshold=0.3]	3385805	0.423491	../../result/log/zipf_1_15	0.01	1
LR_7_id[cache_size=0.01,treshold=0.3]	3082530	0.426154	../../result/log/zipf_1_15	0.01	1
LR_8_id[cache_size=0.01,treshold=0.3]	3078793	0.426187	../../result/log/zipf_1_15	0.01	1
LR_9_id[cache_size=0.01,treshold=0.3]	3071023	0.426243	../../result/log/zipf_1_15	0.01	1
LR_7[cache_size=0.01,treshold=0.3]	2828327	0.428148	../../result/log/zipf_1_15	0.01	1
LR_8[cache_size=0.01,treshold=0.3]	2830034	0.428148	../../result/log/zipf_1_15	0.01	1
LR_9[cache_size=0.01,treshold=0.3]	2833313	0.428156	../../result/log/zipf_1_15	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5855919	0.209857	../../result/log/zipf_1_15	0.1	1
LR_id[cache_size=0.1,treshold=0.8]	8631677	0.211795	../../result/log/zipf_1_15	0.1	1
LR_id[cache_size=0.1,treshold=0.7]	8195625	0.211858	../../result/log/zipf_1_15	0.1	1
Zipf Optimal Distribution	8927244	0.211885	../../result/log/zipf_1_15	0.1	1
LR_9_id[cache_size=0.1,treshold=0.8]	8757490	0.211933	../../result/log/zipf_1_15	0.1	1
LR_7_id[cache_size=0.1,treshold=0.8]	8757245	0.211933	../../result/log/zipf_1_15	0.1	1
LR_8_id[cache_size=0.1,treshold=0.8]	8757171	0.211934	../../result/log/zipf_1_15	0.1	1
LR_id[cache_size=0.1,treshold=0.9]	9042298	0.211945	../../result/log/zipf_1_15	0.1	1
LR_9_id[cache_size=0.1,treshold=0.9]	9345148	0.21223	../../result/log/zipf_1_15	0.1	1
LR_8_id[cache_size=0.1,treshold=0.9]	9345530	0.21223	../../result/log/zipf_1_15	0.1	1
LR_7_id[cache_size=0.1,treshold=0.9]	9345525	0.212231	../../result/log/zipf_1_15	0.1	1
LR_id[cache_size=0.1,treshold=0.6]	7653269	0.212255	../../result/log/zipf_1_15	0.1	1
LR_9_id[cache_size=0.1,treshold=0.7]	7859197	0.212455	../../result/log/zipf_1_15	0.1	1
LR_7_id[cache_size=0.1,treshold=0.7]	7856735	0.212458	../../result/log/zipf_1_15	0.1	1
LR_8_id[cache_size=0.1,treshold=0.7]	7856324	0.212461	../../result/log/zipf_1_15	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6880980	0.213394	../../result/log/zipf_1_15	0.1	1
LR_9[cache_size=0.1,treshold=0.8]	9749804	0.213586	../../result/log/zipf_1_15	0.1	1
LR_7[cache_size=0.1,treshold=0.8]	9741455	0.213588	../../result/log/zipf_1_15	0.1	1
LR_8[cache_size=0.1,treshold=0.8]	9737587	0.213589	../../result/log/zipf_1_15	0.1	1
LR_9[cache_size=0.1,treshold=0.9]	10273491	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[cache_size=0.1,treshold=0.9]	10273491	0.213817	../../result/log/zipf_1_15	0.1	1
LR_8[cache_size=0.1,treshold=0.9]	10273489	0.213817	../../result/log/zipf_1_15	0.1	1
LR_9_id[cache_size=0.1,treshold=0.6]	6487361	0.215298	../../result/log/zipf_1_15	0.1	1
LR_7_id[cache_size=0.1,treshold=0.6]	6483608	0.215311	../../result/log/zipf_1_15	0.1	1
LR_8_id[cache_size=0.1,treshold=0.6]	6483441	0.215316	../../result/log/zipf_1_15	0.1	1
LR_9[cache_size=0.1,treshold=0.7]	7148453	0.216419	../../result/log/zipf_1_15	0.1	1
LR_7[cache_size=0.1,treshold=0.7]	7146708	0.216428	../../result/log/zipf_1_15	0.1	1
LR_8[cache_size=0.1,treshold=0.7]	7147423	0.216431	../../result/log/zipf_1_15	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5075678	0.219898	../../result/log/zipf_1_15	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5075023	0.219908	../../result/log/zipf_1_15	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5073914	0.219909	../../result/log/zipf_1_15	0.1	1
LR_8[cache_size=0.1,treshold=0.6]	5362457	0.220694	../../result/log/zipf_1_15	0.1	1
LR_9[cache_size=0.1,treshold=0.6]	5358127	0.220695	../../result/log/zipf_1_15	0.1	1
LR_7[cache_size=0.1,treshold=0.6]	5360087	0.220696	../../result/log/zipf_1_15	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4191256	0.224658	../../result/log/zipf_1_15	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4189445	0.224661	../../result/log/zipf_1_15	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4186743	0.224667	../../result/log/zipf_1_15	0.1	1
LR_id[cache_size=0.1,treshold=0.3]	3209660	0.227098	../../result/log/zipf_1_15	0.1	1
LR_8_id[cache_size=0.1,treshold=0.3]	2975833	0.229428	../../result/log/zipf_1_15	0.1	1
LR_7_id[cache_size=0.1,treshold=0.3]	2973993	0.229438	../../result/log/zipf_1_15	0.1	1
LR_9_id[cache_size=0.1,treshold=0.3]	2973256	0.22944	../../result/log/zipf_1_15	0.1	1
LR_8[cache_size=0.1,treshold=0.3]	2724482	0.231276	../../result/log/zipf_1_15	0.1	1
LR_7[cache_size=0.1,treshold=0.3]	2724487	0.231277	../../result/log/zipf_1_15	0.1	1
LR_9[cache_size=0.1,treshold=0.3]	2723140	0.231285	../../result/log/zipf_1_15	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5679810	0.147307	../../result/log/zipf_1_15	0.2	1
LR_id[cache_size=0.2,treshold=0.7]	7967188	0.150007	../../result/log/zipf_1_15	0.2	1
LR_id[cache_size=0.2,treshold=0.6]	7395772	0.150162	../../result/log/zipf_1_15	0.2	1
LR_id[cache_size=0.2,treshold=0.8]	8437023	0.150164	../../result/log/zipf_1_15	0.2	1
Zipf Optimal Distribution	8496578	0.150203	../../result/log/zipf_1_15	0.2	1
LR_7_id[cache_size=0.2,treshold=0.8]	8534848	0.150397	../../result/log/zipf_1_15	0.2	1
LR_8_id[cache_size=0.2,treshold=0.8]	8536039	0.150397	../../result/log/zipf_1_15	0.2	1
LR_9_id[cache_size=0.2,treshold=0.8]	8536152	0.150397	../../result/log/zipf_1_15	0.2	1
LR_id[cache_size=0.2,treshold=0.9]	8875208	0.150561	../../result/log/zipf_1_15	0.2	1
LR_9_id[cache_size=0.2,treshold=0.7]	7572079	0.150633	../../result/log/zipf_1_15	0.2	1
LR_7_id[cache_size=0.2,treshold=0.7]	7570669	0.150635	../../result/log/zipf_1_15	0.2	1
LR_8_id[cache_size=0.2,treshold=0.7]	7570793	0.150636	../../result/log/zipf_1_15	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6596321	0.150995	../../result/log/zipf_1_15	0.2	1
LR_7_id[cache_size=0.2,treshold=0.9]	9175377	0.151004	../../result/log/zipf_1_15	0.2	1
LR_8_id[cache_size=0.2,treshold=0.9]	9176559	0.151006	../../result/log/zipf_1_15	0.2	1
LR_9_id[cache_size=0.2,treshold=0.9]	9176347	0.151006	../../result/log/zipf_1_15	0.2	1
LR_8[cache_size=0.2,treshold=0.9]	10000415	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_9[cache_size=0.2,treshold=0.9]	10000415	0.15275	../../result/log/zipf_1_15	0.2	1
LR_7[cache_size=0.2,treshold=0.9]	10000415	0.15275	../../result/log/zipf_1_15	0.2	1
LR_7[cache_size=0.2,treshold=0.8]	9531967	0.152768	../../result/log/zipf_1_15	0.2	1
LR_9[cache_size=0.2,treshold=0.8]	9531595	0.152769	../../result/log/zipf_1_15	0.2	1
LR_8[cache_size=0.2,treshold=0.8]	9517061	0.15277	../../result/log/zipf_1_15	0.2	1
LR_9_id[cache_size=0.2,treshold=0.6]	6184642	0.153042	../../result/log/zipf_1_15	0.2	1
LR_7_id[cache_size=0.2,treshold=0.6]	6184328	0.153043	../../result/log/zipf_1_15	0.2	1
LR_8_id[cache_size=0.2,treshold=0.6]	6183487	0.153048	../../result/log/zipf_1_15	0.2	1
LR_7[cache_size=0.2,treshold=0.7]	7016918	0.154434	../../result/log/zipf_1_15	0.2	1
LR_9[cache_size=0.2,treshold=0.7]	7014777	0.154437	../../result/log/zipf_1_15	0.2	1
LR_8[cache_size=0.2,treshold=0.7]	7009169	0.154446	../../result/log/zipf_1_15	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4850405	0.156813	../../result/log/zipf_1_15	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4849655	0.156814	../../result/log/zipf_1_15	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4849342	0.156818	../../result/log/zipf_1_15	0.2	1
LR_7[cache_size=0.2,treshold=0.6]	5229392	0.157674	../../result/log/zipf_1_15	0.2	1
LR_9[cache_size=0.2,treshold=0.6]	5226757	0.157678	../../result/log/zipf_1_15	0.2	1
LR_8[cache_size=0.2,treshold=0.6]	5227411	0.157682	../../result/log/zipf_1_15	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4065657	0.160931	../../result/log/zipf_1_15	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4064883	0.160932	../../result/log/zipf_1_15	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4062785	0.160937	../../result/log/zipf_1_15	0.2	1
LR_id[cache_size=0.2,treshold=0.3]	3104295	0.162513	../../result/log/zipf_1_15	0.2	1
LR_7_id[cache_size=0.2,treshold=0.3]	2892676	0.16477	../../result/log/zipf_1_15	0.2	1
LR_8_id[cache_size=0.2,treshold=0.3]	2892085	0.164774	../../result/log/zipf_1_15	0.2	1
LR_9_id[cache_size=0.2,treshold=0.3]	2891059	0.164779	../../result/log/zipf_1_15	0.2	1
LR_8[cache_size=0.2,treshold=0.3]	2617987	0.166683	../../result/log/zipf_1_15	0.2	1
LR_7[cache_size=0.2,treshold=0.3]	2615867	0.166692	../../result/log/zipf_1_15	0.2	1
LR_9[cache_size=0.2,treshold=0.3]	2614961	0.166696	../../result/log/zipf_1_15	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5220469	0.0827401	../../result/log/zipf_1_15	0.4	1
LR_id[cache_size=0.4,treshold=0.6]	6619786	0.0862818	../../result/log/zipf_1_15	0.4	1
LR_id[cache_size=0.4,treshold=0.7]	7272084	0.0864272	../../result/log/zipf_1_15	0.4	1
Zipf Optimal Distribution	7658498	0.0867334	../../result/log/zipf_1_15	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5756268	0.0867684	../../result/log/zipf_1_15	0.4	1
LR_id[cache_size=0.4,treshold=0.8]	7835026	0.086914	../../result/log/zipf_1_15	0.4	1
LR_9_id[cache_size=0.4,treshold=0.7]	6773404	0.0871505	../../result/log/zipf_1_15	0.4	1
LR_8_id[cache_size=0.4,treshold=0.7]	6772952	0.0871524	../../result/log/zipf_1_15	0.4	1
LR_7_id[cache_size=0.4,treshold=0.7]	6771216	0.0871543	../../result/log/zipf_1_15	0.4	1
LR_9_id[cache_size=0.4,treshold=0.8]	7905138	0.0872892	../../result/log/zipf_1_15	0.4	1
LR_7_id[cache_size=0.4,treshold=0.8]	7904387	0.0872892	../../result/log/zipf_1_15	0.4	1
LR_8_id[cache_size=0.4,treshold=0.8]	7905007	0.0872894	../../result/log/zipf_1_15	0.4	1
LR_id[cache_size=0.4,treshold=0.9]	8357346	0.0877119	../../result/log/zipf_1_15	0.4	1
LR_7_id[cache_size=0.4,treshold=0.9]	8679981	0.0884217	../../result/log/zipf_1_15	0.4	1
LR_9_id[cache_size=0.4,treshold=0.9]	8680009	0.0884217	../../result/log/zipf_1_15	0.4	1
LR_8_id[cache_size=0.4,treshold=0.9]	8680063	0.0884221	../../result/log/zipf_1_15	0.4	1
LR_9_id[cache_size=0.4,treshold=0.6]	5412543	0.0888289	../../result/log/zipf_1_15	0.4	1
LR_8_id[cache_size=0.4,treshold=0.6]	5412170	0.0888312	../../result/log/zipf_1_15	0.4	1
LR_7_id[cache_size=0.4,treshold=0.6]	5410034	0.0888382	../../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[cache_size=0.4,treshold=0.9]	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_8[cache_size=0.4,treshold=0.9]	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_9[cache_size=0.4,treshold=0.9]	9234422	0.0897434	../../result/log/zipf_1_15	0.4	1
LR_9[cache_size=0.4,treshold=0.8]	8605042	0.0898638	../../result/log/zipf_1_15	0.4	1
LR_7[cache_size=0.4,treshold=0.8]	8604425	0.0898642	../../result/log/zipf_1_15	0.4	1
LR_8[cache_size=0.4,treshold=0.8]	8604072	0.0898644	../../result/log/zipf_1_15	0.4	1
LR_9[cache_size=0.4,treshold=0.7]	6564964	0.0906803	../../result/log/zipf_1_15	0.4	1
LR_8[cache_size=0.4,treshold=0.7]	6564442	0.0906805	../../result/log/zipf_1_15	0.4	1
LR_7[cache_size=0.4,treshold=0.7]	6564585	0.0906806	../../result/log/zipf_1_15	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4271740	0.0913211	../../result/log/zipf_1_15	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4271790	0.0913224	../../result/log/zipf_1_15	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4270146	0.0913289	../../result/log/zipf_1_15	0.4	1
LR_9[cache_size=0.4,treshold=0.6]	4885936	0.0923636	../../result/log/zipf_1_15	0.4	1
LR_8[cache_size=0.4,treshold=0.6]	4886450	0.0923637	../../result/log/zipf_1_15	0.4	1
LR_7[cache_size=0.4,treshold=0.6]	4886072	0.0923637	../../result/log/zipf_1_15	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3740510	0.0943411	../../result/log/zipf_1_15	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3740168	0.0943415	../../result/log/zipf_1_15	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3740868	0.094342	../../result/log/zipf_1_15	0.4	1
LR_id[cache_size=0.4,treshold=0.3]	2797066	0.0945796	../../result/log/zipf_1_15	0.4	1
LR_8_id[cache_size=0.4,treshold=0.3]	2650601	0.0965522	../../result/log/zipf_1_15	0.4	1
LR_9_id[cache_size=0.4,treshold=0.3]	2650130	0.0965533	../../result/log/zipf_1_15	0.4	1
LR_7_id[cache_size=0.4,treshold=0.3]	2650026	0.0965552	../../result/log/zipf_1_15	0.4	1
LR_8[cache_size=0.4,treshold=0.3]	2380282	0.0982626	../../result/log/zipf_1_15	0.4	1
LR_7[cache_size=0.4,treshold=0.3]	2379947	0.0982632	../../result/log/zipf_1_15	0.4	1
LR_9[cache_size=0.4,treshold=0.3]	2379664	0.0982641	../../result/log/zipf_1_15	0.4	1

zipf_1_16

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	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_9_id[cache_size=0.01,treshold=0.9]	9408493	0.404585	../../result/log/zipf_1_16	0.01	1
LR_7_id[cache_size=0.01,treshold=0.9]	9410001	0.404586	../../result/log/zipf_1_16	0.01	1
LR_8_id[cache_size=0.01,treshold=0.9]	9409444	0.404586	../../result/log/zipf_1_16	0.01	1
LR_id[cache_size=0.01,treshold=0.9]	9117214	0.404606	../../result/log/zipf_1_16	0.01	1
LR_9_id[cache_size=0.01,treshold=0.8]	8854730	0.404814	../../result/log/zipf_1_16	0.01	1
LR_8_id[cache_size=0.01,treshold=0.8]	8852496	0.404817	../../result/log/zipf_1_16	0.01	1
LR_7_id[cache_size=0.01,treshold=0.8]	8850819	0.40482	../../result/log/zipf_1_16	0.01	1
LR_id[cache_size=0.01,treshold=0.8]	8727353	0.404837	../../result/log/zipf_1_16	0.01	1
LR_9[cache_size=0.01,treshold=0.8]	9769605	0.405016	../../result/log/zipf_1_16	0.01	1
LR_8[cache_size=0.01,treshold=0.8]	9736498	0.405046	../../result/log/zipf_1_16	0.01	1
LR_7[cache_size=0.01,treshold=0.8]	9719385	0.405075	../../result/log/zipf_1_16	0.01	1
LR_8[cache_size=0.01,treshold=0.9]	10295691	0.405206	../../result/log/zipf_1_16	0.01	1
LR_9[cache_size=0.01,treshold=0.9]	10296736	0.405207	../../result/log/zipf_1_16	0.01	1
LR_7[cache_size=0.01,treshold=0.9]	10297041	0.405209	../../result/log/zipf_1_16	0.01	1
LR_id[cache_size=0.01,treshold=0.7]	8315053	0.405268	../../result/log/zipf_1_16	0.01	1
Offline Clock 1st iteration	10437637	0.405347	../../result/log/zipf_1_16	0.01	1
LR_9_id[cache_size=0.01,treshold=0.7]	8059906	0.405838	../../result/log/zipf_1_16	0.01	1
LR_8_id[cache_size=0.01,treshold=0.7]	8049488	0.40587	../../result/log/zipf_1_16	0.01	1
LR_7_id[cache_size=0.01,treshold=0.7]	8042351	0.405892	../../result/log/zipf_1_16	0.01	1
LR_id[cache_size=0.01,treshold=0.6]	7800758	0.40608	../../result/log/zipf_1_16	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7070078	0.407716	../../result/log/zipf_1_16	0.01	1
LR_9_id[cache_size=0.01,treshold=0.6]	6819251	0.409021	../../result/log/zipf_1_16	0.01	1
LR_8_id[cache_size=0.01,treshold=0.6]	6799142	0.409126	../../result/log/zipf_1_16	0.01	1
LR_7_id[cache_size=0.01,treshold=0.6]	6788583	0.409184	../../result/log/zipf_1_16	0.01	1
LR_9[cache_size=0.01,treshold=0.7]	7443136	0.409405	../../result/log/zipf_1_16	0.01	1
LR_8[cache_size=0.01,treshold=0.7]	7436391	0.409469	../../result/log/zipf_1_16	0.01	1
LR_7[cache_size=0.01,treshold=0.7]	7441925	0.409488	../../result/log/zipf_1_16	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5351095	0.414665	../../result/log/zipf_1_16	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5348562	0.414701	../../result/log/zipf_1_16	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5350660	0.414704	../../result/log/zipf_1_16	0.01	1
LR_7[cache_size=0.01,treshold=0.6]	5622068	0.415253	../../result/log/zipf_1_16	0.01	1
LR_8[cache_size=0.01,treshold=0.6]	5600263	0.415314	../../result/log/zipf_1_16	0.01	1
LR_9[cache_size=0.01,treshold=0.6]	5574530	0.415374	../../result/log/zipf_1_16	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4375097	0.420329	../../result/log/zipf_1_16	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4368814	0.420365	../../result/log/zipf_1_16	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4349191	0.420441	../../result/log/zipf_1_16	0.01	1
LR_id[cache_size=0.01,treshold=0.3]	3386583	0.423614	../../result/log/zipf_1_16	0.01	1
LR_7_id[cache_size=0.01,treshold=0.3]	3081734	0.42629	../../result/log/zipf_1_16	0.01	1
LR_8_id[cache_size=0.01,treshold=0.3]	3078473	0.42632	../../result/log/zipf_1_16	0.01	1
LR_9_id[cache_size=0.01,treshold=0.3]	3070892	0.426375	../../result/log/zipf_1_16	0.01	1
LR_8[cache_size=0.01,treshold=0.3]	2830245	0.428275	../../result/log/zipf_1_16	0.01	1
LR_7[cache_size=0.01,treshold=0.3]	2828400	0.428276	../../result/log/zipf_1_16	0.01	1
LR_9[cache_size=0.01,treshold=0.3]	2833294	0.428283	../../result/log/zipf_1_16	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5851636	0.210029	../../result/log/zipf_1_16	0.1	1
LR_id[cache_size=0.1,treshold=0.8]	8629815	0.21197	../../result/log/zipf_1_16	0.1	1
LR_id[cache_size=0.1,treshold=0.7]	8191921	0.212033	../../result/log/zipf_1_16	0.1	1
Zipf Optimal Distribution	8926367	0.212052	../../result/log/zipf_1_16	0.1	1
LR_id[cache_size=0.1,treshold=0.9]	9041580	0.212116	../../result/log/zipf_1_16	0.1	1
LR_7_id[cache_size=0.1,treshold=0.8]	8754495	0.212118	../../result/log/zipf_1_16	0.1	1
LR_9_id[cache_size=0.1,treshold=0.8]	8754626	0.212118	../../result/log/zipf_1_16	0.1	1
LR_8_id[cache_size=0.1,treshold=0.8]	8754340	0.212119	../../result/log/zipf_1_16	0.1	1
LR_8_id[cache_size=0.1,treshold=0.9]	9344871	0.212405	../../result/log/zipf_1_16	0.1	1
LR_7_id[cache_size=0.1,treshold=0.9]	9344971	0.212405	../../result/log/zipf_1_16	0.1	1
LR_9_id[cache_size=0.1,treshold=0.9]	9344476	0.212405	../../result/log/zipf_1_16	0.1	1
LR_id[cache_size=0.1,treshold=0.6]	7649035	0.212432	../../result/log/zipf_1_16	0.1	1
LR_9_id[cache_size=0.1,treshold=0.7]	7856136	0.21264	../../result/log/zipf_1_16	0.1	1
LR_7_id[cache_size=0.1,treshold=0.7]	7853970	0.212644	../../result/log/zipf_1_16	0.1	1
LR_8_id[cache_size=0.1,treshold=0.7]	7853637	0.212647	../../result/log/zipf_1_16	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6878413	0.213578	../../result/log/zipf_1_16	0.1	1
LR_9[cache_size=0.1,treshold=0.8]	9750736	0.213751	../../result/log/zipf_1_16	0.1	1
LR_7[cache_size=0.1,treshold=0.8]	9743143	0.213754	../../result/log/zipf_1_16	0.1	1
LR_8[cache_size=0.1,treshold=0.8]	9739734	0.213755	../../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[cache_size=0.1,treshold=0.9]	10274534	0.213984	../../result/log/zipf_1_16	0.1	1
LR_8[cache_size=0.1,treshold=0.9]	10274532	0.213984	../../result/log/zipf_1_16	0.1	1
LR_9[cache_size=0.1,treshold=0.9]	10274534	0.213984	../../result/log/zipf_1_16	0.1	1
LR_9_id[cache_size=0.1,treshold=0.6]	6486799	0.215473	../../result/log/zipf_1_16	0.1	1
LR_7_id[cache_size=0.1,treshold=0.6]	6483208	0.215486	../../result/log/zipf_1_16	0.1	1
LR_8_id[cache_size=0.1,treshold=0.6]	6483207	0.21549	../../result/log/zipf_1_16	0.1	1
LR_9[cache_size=0.1,treshold=0.7]	7151491	0.21657	../../result/log/zipf_1_16	0.1	1
LR_7[cache_size=0.1,treshold=0.7]	7149477	0.216579	../../result/log/zipf_1_16	0.1	1
LR_8[cache_size=0.1,treshold=0.7]	7150467	0.216582	../../result/log/zipf_1_16	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5075649	0.220048	../../result/log/zipf_1_16	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5074937	0.220058	../../result/log/zipf_1_16	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5073821	0.22006	../../result/log/zipf_1_16	0.1	1
LR_8[cache_size=0.1,treshold=0.6]	5362692	0.220857	../../result/log/zipf_1_16	0.1	1
LR_9[cache_size=0.1,treshold=0.6]	5358593	0.220859	../../result/log/zipf_1_16	0.1	1
LR_7[cache_size=0.1,treshold=0.6]	5360305	0.22086	../../result/log/zipf_1_16	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4190226	0.224816	../../result/log/zipf_1_16	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4188394	0.224819	../../result/log/zipf_1_16	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4185754	0.224825	../../result/log/zipf_1_16	0.1	1
LR_id[cache_size=0.1,treshold=0.3]	3210918	0.227239	../../result/log/zipf_1_16	0.1	1
LR_8_id[cache_size=0.1,treshold=0.3]	2975934	0.229573	../../result/log/zipf_1_16	0.1	1
LR_7_id[cache_size=0.1,treshold=0.3]	2974284	0.229583	../../result/log/zipf_1_16	0.1	1
LR_9_id[cache_size=0.1,treshold=0.3]	2973629	0.229584	../../result/log/zipf_1_16	0.1	1
LR_8[cache_size=0.1,treshold=0.3]	2725171	0.231416	../../result/log/zipf_1_16	0.1	1
LR_7[cache_size=0.1,treshold=0.3]	2725154	0.231417	../../result/log/zipf_1_16	0.1	1
LR_9[cache_size=0.1,treshold=0.3]	2723740	0.231426	../../result/log/zipf_1_16	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5683642	0.147393	../../result/log/zipf_1_16	0.2	1
LR_id[cache_size=0.2,treshold=0.7]	7975311	0.150091	../../result/log/zipf_1_16	0.2	1
LR_id[cache_size=0.2,treshold=0.6]	7404470	0.150234	../../result/log/zipf_1_16	0.2	1
LR_id[cache_size=0.2,treshold=0.8]	8446568	0.150249	../../result/log/zipf_1_16	0.2	1
Zipf Optimal Distribution	8505430	0.150288	../../result/log/zipf_1_16	0.2	1
LR_7_id[cache_size=0.2,treshold=0.8]	8543742	0.150477	../../result/log/zipf_1_16	0.2	1
LR_8_id[cache_size=0.2,treshold=0.8]	8544723	0.150479	../../result/log/zipf_1_16	0.2	1
LR_9_id[cache_size=0.2,treshold=0.8]	8544889	0.150479	../../result/log/zipf_1_16	0.2	1
LR_id[cache_size=0.2,treshold=0.9]	8886092	0.150641	../../result/log/zipf_1_16	0.2	1
LR_9_id[cache_size=0.2,treshold=0.7]	7578691	0.150728	../../result/log/zipf_1_16	0.2	1
LR_7_id[cache_size=0.2,treshold=0.7]	7577335	0.150729	../../result/log/zipf_1_16	0.2	1
LR_8_id[cache_size=0.2,treshold=0.7]	7577433	0.15073	../../result/log/zipf_1_16	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6601552	0.151068	../../result/log/zipf_1_16	0.2	1
LR_7_id[cache_size=0.2,treshold=0.9]	9187006	0.151088	../../result/log/zipf_1_16	0.2	1
LR_9_id[cache_size=0.2,treshold=0.9]	9187976	0.151089	../../result/log/zipf_1_16	0.2	1
LR_8_id[cache_size=0.2,treshold=0.9]	9188186	0.15109	../../result/log/zipf_1_16	0.2	1
LR_8[cache_size=0.2,treshold=0.9]	10010518	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_9[cache_size=0.2,treshold=0.9]	10010518	0.152836	../../result/log/zipf_1_16	0.2	1
LR_7[cache_size=0.2,treshold=0.9]	10010518	0.152836	../../result/log/zipf_1_16	0.2	1
LR_7[cache_size=0.2,treshold=0.8]	9547859	0.152851	../../result/log/zipf_1_16	0.2	1
LR_9[cache_size=0.2,treshold=0.8]	9547489	0.152852	../../result/log/zipf_1_16	0.2	1
LR_8[cache_size=0.2,treshold=0.8]	9535780	0.152853	../../result/log/zipf_1_16	0.2	1
LR_9_id[cache_size=0.2,treshold=0.6]	6191270	0.153115	../../result/log/zipf_1_16	0.2	1
LR_7_id[cache_size=0.2,treshold=0.6]	6190905	0.153117	../../result/log/zipf_1_16	0.2	1
LR_8_id[cache_size=0.2,treshold=0.6]	6189772	0.153122	../../result/log/zipf_1_16	0.2	1
LR_7[cache_size=0.2,treshold=0.7]	7023421	0.15454	../../result/log/zipf_1_16	0.2	1
LR_9[cache_size=0.2,treshold=0.7]	7021371	0.154542	../../result/log/zipf_1_16	0.2	1
LR_8[cache_size=0.2,treshold=0.7]	7015930	0.154551	../../result/log/zipf_1_16	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4853092	0.156901	../../result/log/zipf_1_16	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4852161	0.156903	../../result/log/zipf_1_16	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4852076	0.156907	../../result/log/zipf_1_16	0.2	1
LR_7[cache_size=0.2,treshold=0.6]	5236734	0.157779	../../result/log/zipf_1_16	0.2	1
LR_9[cache_size=0.2,treshold=0.6]	5233863	0.157783	../../result/log/zipf_1_16	0.2	1
LR_8[cache_size=0.2,treshold=0.6]	5234636	0.157786	../../result/log/zipf_1_16	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4067828	0.161033	../../result/log/zipf_1_16	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4068538	0.161034	../../result/log/zipf_1_16	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4065692	0.161038	../../result/log/zipf_1_16	0.2	1
LR_id[cache_size=0.2,treshold=0.3]	3104967	0.162593	../../result/log/zipf_1_16	0.2	1
LR_7_id[cache_size=0.2,treshold=0.3]	2891885	0.164875	../../result/log/zipf_1_16	0.2	1
LR_8_id[cache_size=0.2,treshold=0.3]	2891439	0.164879	../../result/log/zipf_1_16	0.2	1
LR_9_id[cache_size=0.2,treshold=0.3]	2890314	0.164883	../../result/log/zipf_1_16	0.2	1
LR_8[cache_size=0.2,treshold=0.3]	2619181	0.166771	../../result/log/zipf_1_16	0.2	1
LR_7[cache_size=0.2,treshold=0.3]	2617153	0.16678	../../result/log/zipf_1_16	0.2	1
LR_9[cache_size=0.2,treshold=0.3]	2616355	0.166784	../../result/log/zipf_1_16	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5225924	0.0827439	../../result/log/zipf_1_16	0.4	1
LR_id[cache_size=0.4,treshold=0.6]	6629114	0.0862959	../../result/log/zipf_1_16	0.4	1
LR_id[cache_size=0.4,treshold=0.7]	7277991	0.0864473	../../result/log/zipf_1_16	0.4	1
Zipf Optimal Distribution	7664562	0.0867505	../../result/log/zipf_1_16	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5760718	0.0868007	../../result/log/zipf_1_16	0.4	1
LR_id[cache_size=0.4,treshold=0.8]	7841531	0.0869332	../../result/log/zipf_1_16	0.4	1
LR_9_id[cache_size=0.4,treshold=0.7]	6777783	0.0871755	../../result/log/zipf_1_16	0.4	1
LR_8_id[cache_size=0.4,treshold=0.7]	6777362	0.0871762	../../result/log/zipf_1_16	0.4	1
LR_7_id[cache_size=0.4,treshold=0.7]	6775667	0.0871789	../../result/log/zipf_1_16	0.4	1
LR_9_id[cache_size=0.4,treshold=0.8]	7913662	0.0872975	../../result/log/zipf_1_16	0.4	1
LR_8_id[cache_size=0.4,treshold=0.8]	7913542	0.0872976	../../result/log/zipf_1_16	0.4	1
LR_7_id[cache_size=0.4,treshold=0.8]	7912982	0.0872978	../../result/log/zipf_1_16	0.4	1
LR_id[cache_size=0.4,treshold=0.9]	8364685	0.0877362	../../result/log/zipf_1_16	0.4	1
LR_7_id[cache_size=0.4,treshold=0.9]	8688282	0.0884407	../../result/log/zipf_1_16	0.4	1
LR_9_id[cache_size=0.4,treshold=0.9]	8688397	0.0884411	../../result/log/zipf_1_16	0.4	1
LR_8_id[cache_size=0.4,treshold=0.9]	8688428	0.0884412	../../result/log/zipf_1_16	0.4	1
LR_9_id[cache_size=0.4,treshold=0.6]	5419937	0.0888532	../../result/log/zipf_1_16	0.4	1
LR_8_id[cache_size=0.4,treshold=0.6]	5419512	0.0888559	../../result/log/zipf_1_16	0.4	1
LR_7_id[cache_size=0.4,treshold=0.6]	5417363	0.0888631	../../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[cache_size=0.4,treshold=0.9]	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_8[cache_size=0.4,treshold=0.9]	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_9[cache_size=0.4,treshold=0.9]	9242882	0.0897459	../../result/log/zipf_1_16	0.4	1
LR_9[cache_size=0.4,treshold=0.8]	8611294	0.0898878	../../result/log/zipf_1_16	0.4	1
LR_7[cache_size=0.4,treshold=0.8]	8610365	0.0898882	../../result/log/zipf_1_16	0.4	1
LR_8[cache_size=0.4,treshold=0.8]	8610028	0.0898884	../../result/log/zipf_1_16	0.4	1
LR_9[cache_size=0.4,treshold=0.7]	6576404	0.0906925	../../result/log/zipf_1_16	0.4	1
LR_8[cache_size=0.4,treshold=0.7]	6575676	0.0906927	../../result/log/zipf_1_16	0.4	1
LR_7[cache_size=0.4,treshold=0.7]	6575861	0.0906929	../../result/log/zipf_1_16	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4276168	0.0913508	../../result/log/zipf_1_16	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4276297	0.091352	../../result/log/zipf_1_16	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4274742	0.0913576	../../result/log/zipf_1_16	0.4	1
LR_9[cache_size=0.4,treshold=0.6]	4894579	0.0923771	../../result/log/zipf_1_16	0.4	1
LR_8[cache_size=0.4,treshold=0.6]	4894969	0.0923773	../../result/log/zipf_1_16	0.4	1
LR_7[cache_size=0.4,treshold=0.6]	4894672	0.0923775	../../result/log/zipf_1_16	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3743350	0.0943692	../../result/log/zipf_1_16	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3743079	0.0943696	../../result/log/zipf_1_16	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3743751	0.0943697	../../result/log/zipf_1_16	0.4	1
LR_id[cache_size=0.4,treshold=0.3]	2797828	0.0945991	../../result/log/zipf_1_16	0.4	1
LR_8_id[cache_size=0.4,treshold=0.3]	2653546	0.0965643	../../result/log/zipf_1_16	0.4	1
LR_9_id[cache_size=0.4,treshold=0.3]	2653067	0.0965656	../../result/log/zipf_1_16	0.4	1
LR_7_id[cache_size=0.4,treshold=0.3]	2652954	0.0965672	../../result/log/zipf_1_16	0.4	1
LR_8[cache_size=0.4,treshold=0.3]	2384703	0.098265	../../result/log/zipf_1_16	0.4	1
LR_7[cache_size=0.4,treshold=0.3]	2384344	0.0982657	../../result/log/zipf_1_16	0.4	1
LR_9[cache_size=0.4,treshold=0.3]	2384094	0.0982662	../../result/log/zipf_1_16	0.4	1

zipf_1_17

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	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_9_id[cache_size=0.01,treshold=0.9]	9409835	0.404472	../../result/log/zipf_1_17	0.01	1
LR_7_id[cache_size=0.01,treshold=0.9]	9411556	0.404472	../../result/log/zipf_1_17	0.01	1
LR_8_id[cache_size=0.01,treshold=0.9]	9411013	0.404473	../../result/log/zipf_1_17	0.01	1
LR_id[cache_size=0.01,treshold=0.9]	9117446	0.404493	../../result/log/zipf_1_17	0.01	1
LR_9_id[cache_size=0.01,treshold=0.8]	8854178	0.404704	../../result/log/zipf_1_17	0.01	1
LR_8_id[cache_size=0.01,treshold=0.8]	8852285	0.404707	../../result/log/zipf_1_17	0.01	1
LR_7_id[cache_size=0.01,treshold=0.8]	8850674	0.40471	../../result/log/zipf_1_17	0.01	1
LR_id[cache_size=0.01,treshold=0.8]	8727558	0.404722	../../result/log/zipf_1_17	0.01	1
LR_9[cache_size=0.01,treshold=0.8]	9771886	0.404899	../../result/log/zipf_1_17	0.01	1
LR_8[cache_size=0.01,treshold=0.8]	9738418	0.404932	../../result/log/zipf_1_17	0.01	1
LR_7[cache_size=0.01,treshold=0.8]	9721381	0.404961	../../result/log/zipf_1_17	0.01	1
LR_8[cache_size=0.01,treshold=0.9]	10297456	0.405097	../../result/log/zipf_1_17	0.01	1
LR_9[cache_size=0.01,treshold=0.9]	10298403	0.405097	../../result/log/zipf_1_17	0.01	1
LR_7[cache_size=0.01,treshold=0.9]	10298864	0.405099	../../result/log/zipf_1_17	0.01	1
LR_id[cache_size=0.01,treshold=0.7]	8316193	0.405153	../../result/log/zipf_1_17	0.01	1
Offline Clock 1st iteration	10439561	0.405242	../../result/log/zipf_1_17	0.01	1
LR_9_id[cache_size=0.01,treshold=0.7]	8063526	0.405719	../../result/log/zipf_1_17	0.01	1
LR_8_id[cache_size=0.01,treshold=0.7]	8052649	0.405752	../../result/log/zipf_1_17	0.01	1
LR_7_id[cache_size=0.01,treshold=0.7]	8045911	0.405773	../../result/log/zipf_1_17	0.01	1
LR_id[cache_size=0.01,treshold=0.6]	7803616	0.405958	../../result/log/zipf_1_17	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7070223	0.407614	../../result/log/zipf_1_17	0.01	1
LR_9_id[cache_size=0.01,treshold=0.6]	6818847	0.408915	../../result/log/zipf_1_17	0.01	1
LR_8_id[cache_size=0.01,treshold=0.6]	6799669	0.409016	../../result/log/zipf_1_17	0.01	1
LR_7_id[cache_size=0.01,treshold=0.6]	6789536	0.409071	../../result/log/zipf_1_17	0.01	1
LR_9[cache_size=0.01,treshold=0.7]	7446165	0.409288	../../result/log/zipf_1_17	0.01	1
LR_8[cache_size=0.01,treshold=0.7]	7440328	0.409353	../../result/log/zipf_1_17	0.01	1
LR_7[cache_size=0.01,treshold=0.7]	7445732	0.409371	../../result/log/zipf_1_17	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5354514	0.414549	../../result/log/zipf_1_17	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5351788	0.414586	../../result/log/zipf_1_17	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5354237	0.41459	../../result/log/zipf_1_17	0.01	1
LR_7[cache_size=0.01,treshold=0.6]	5625900	0.41513	../../result/log/zipf_1_17	0.01	1
LR_8[cache_size=0.01,treshold=0.6]	5604181	0.415189	../../result/log/zipf_1_17	0.01	1
LR_9[cache_size=0.01,treshold=0.6]	5578573	0.415244	../../result/log/zipf_1_17	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4377646	0.420218	../../result/log/zipf_1_17	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4370959	0.420257	../../result/log/zipf_1_17	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4351594	0.420333	../../result/log/zipf_1_17	0.01	1
LR_id[cache_size=0.01,treshold=0.3]	3386391	0.423517	../../result/log/zipf_1_17	0.01	1
LR_7_id[cache_size=0.01,treshold=0.3]	3084386	0.426169	../../result/log/zipf_1_17	0.01	1
LR_8_id[cache_size=0.01,treshold=0.3]	3081304	0.426201	../../result/log/zipf_1_17	0.01	1
LR_9_id[cache_size=0.01,treshold=0.3]	3073214	0.426258	../../result/log/zipf_1_17	0.01	1
LR_8[cache_size=0.01,treshold=0.3]	2832383	0.428161	../../result/log/zipf_1_17	0.01	1
LR_7[cache_size=0.01,treshold=0.3]	2830461	0.428163	../../result/log/zipf_1_17	0.01	1
LR_9[cache_size=0.01,treshold=0.3]	2835421	0.428171	../../result/log/zipf_1_17	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5851791	0.209897	../../result/log/zipf_1_17	0.1	1
LR_id[cache_size=0.1,treshold=0.8]	8626850	0.211846	../../result/log/zipf_1_17	0.1	1
LR_id[cache_size=0.1,treshold=0.7]	8189023	0.211912	../../result/log/zipf_1_17	0.1	1
Zipf Optimal Distribution	8925674	0.211925	../../result/log/zipf_1_17	0.1	1
LR_9_id[cache_size=0.1,treshold=0.8]	8753423	0.211984	../../result/log/zipf_1_17	0.1	1
LR_7_id[cache_size=0.1,treshold=0.8]	8753255	0.211984	../../result/log/zipf_1_17	0.1	1
LR_8_id[cache_size=0.1,treshold=0.8]	8753120	0.211985	../../result/log/zipf_1_17	0.1	1
LR_id[cache_size=0.1,treshold=0.9]	9039501	0.211992	../../result/log/zipf_1_17	0.1	1
LR_9_id[cache_size=0.1,treshold=0.9]	9341883	0.212283	../../result/log/zipf_1_17	0.1	1
LR_7_id[cache_size=0.1,treshold=0.9]	9342359	0.212283	../../result/log/zipf_1_17	0.1	1
LR_8_id[cache_size=0.1,treshold=0.9]	9342350	0.212284	../../result/log/zipf_1_17	0.1	1
LR_id[cache_size=0.1,treshold=0.6]	7644904	0.212323	../../result/log/zipf_1_17	0.1	1
LR_9_id[cache_size=0.1,treshold=0.7]	7851266	0.212524	../../result/log/zipf_1_17	0.1	1
LR_7_id[cache_size=0.1,treshold=0.7]	7848772	0.212528	../../result/log/zipf_1_17	0.1	1
LR_8_id[cache_size=0.1,treshold=0.7]	7848286	0.212531	../../result/log/zipf_1_17	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6875916	0.213459	../../result/log/zipf_1_17	0.1	1
LR_9[cache_size=0.1,treshold=0.8]	9747434	0.213628	../../result/log/zipf_1_17	0.1	1
LR_7[cache_size=0.1,treshold=0.8]	9739230	0.21363	../../result/log/zipf_1_17	0.1	1
LR_8[cache_size=0.1,treshold=0.8]	9735705	0.213631	../../result/log/zipf_1_17	0.1	1
LR_9[cache_size=0.1,treshold=0.9]	10272576	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[cache_size=0.1,treshold=0.9]	10272576	0.213852	../../result/log/zipf_1_17	0.1	1
LR_8[cache_size=0.1,treshold=0.9]	10272574	0.213852	../../result/log/zipf_1_17	0.1	1
LR_9_id[cache_size=0.1,treshold=0.6]	6482661	0.215349	../../result/log/zipf_1_17	0.1	1
LR_7_id[cache_size=0.1,treshold=0.6]	6478734	0.215363	../../result/log/zipf_1_17	0.1	1
LR_8_id[cache_size=0.1,treshold=0.6]	6478778	0.215368	../../result/log/zipf_1_17	0.1	1
LR_9[cache_size=0.1,treshold=0.7]	7146655	0.216453	../../result/log/zipf_1_17	0.1	1
LR_7[cache_size=0.1,treshold=0.7]	7144703	0.216462	../../result/log/zipf_1_17	0.1	1
LR_8[cache_size=0.1,treshold=0.7]	7145670	0.216464	../../result/log/zipf_1_17	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5073120	0.219926	../../result/log/zipf_1_17	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5072122	0.219937	../../result/log/zipf_1_17	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5071193	0.219938	../../result/log/zipf_1_17	0.1	1
LR_8[cache_size=0.1,treshold=0.6]	5359842	0.220738	../../result/log/zipf_1_17	0.1	1
LR_9[cache_size=0.1,treshold=0.6]	5356076	0.220739	../../result/log/zipf_1_17	0.1	1
LR_7[cache_size=0.1,treshold=0.6]	5357644	0.220741	../../result/log/zipf_1_17	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4189369	0.224683	../../result/log/zipf_1_17	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4187519	0.224686	../../result/log/zipf_1_17	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4184896	0.224693	../../result/log/zipf_1_17	0.1	1
LR_id[cache_size=0.1,treshold=0.3]	3210221	0.227093	../../result/log/zipf_1_17	0.1	1
LR_8_id[cache_size=0.1,treshold=0.3]	2977768	0.229425	../../result/log/zipf_1_17	0.1	1
LR_7_id[cache_size=0.1,treshold=0.3]	2976074	0.229435	../../result/log/zipf_1_17	0.1	1
LR_9_id[cache_size=0.1,treshold=0.3]	2975388	0.229436	../../result/log/zipf_1_17	0.1	1
LR_8[cache_size=0.1,treshold=0.3]	2724773	0.231282	../../result/log/zipf_1_17	0.1	1
LR_7[cache_size=0.1,treshold=0.3]	2724954	0.231283	../../result/log/zipf_1_17	0.1	1
LR_9[cache_size=0.1,treshold=0.3]	2723549	0.231291	../../result/log/zipf_1_17	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5680729	0.147336	../../result/log/zipf_1_17	0.2	1
LR_id[cache_size=0.2,treshold=0.7]	7968953	0.150028	../../result/log/zipf_1_17	0.2	1
LR_id[cache_size=0.2,treshold=0.6]	7397304	0.150184	../../result/log/zipf_1_17	0.2	1
LR_id[cache_size=0.2,treshold=0.8]	8438978	0.150191	../../result/log/zipf_1_17	0.2	1
Zipf Optimal Distribution	8498188	0.150231	../../result/log/zipf_1_17	0.2	1
LR_7_id[cache_size=0.2,treshold=0.8]	8537084	0.15042	../../result/log/zipf_1_17	0.2	1
LR_8_id[cache_size=0.2,treshold=0.8]	8538047	0.150421	../../result/log/zipf_1_17	0.2	1
LR_9_id[cache_size=0.2,treshold=0.8]	8538269	0.150421	../../result/log/zipf_1_17	0.2	1
LR_id[cache_size=0.2,treshold=0.9]	8878487	0.150578	../../result/log/zipf_1_17	0.2	1
LR_9_id[cache_size=0.2,treshold=0.7]	7572543	0.150663	../../result/log/zipf_1_17	0.2	1
LR_7_id[cache_size=0.2,treshold=0.7]	7571079	0.150665	../../result/log/zipf_1_17	0.2	1
LR_8_id[cache_size=0.2,treshold=0.7]	7571275	0.150666	../../result/log/zipf_1_17	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6597787	0.151025	../../result/log/zipf_1_17	0.2	1
LR_7_id[cache_size=0.2,treshold=0.9]	9179437	0.151028	../../result/log/zipf_1_17	0.2	1
LR_8_id[cache_size=0.2,treshold=0.9]	9180583	0.151029	../../result/log/zipf_1_17	0.2	1
LR_9_id[cache_size=0.2,treshold=0.9]	9180308	0.151029	../../result/log/zipf_1_17	0.2	1
LR_8[cache_size=0.2,treshold=0.9]	10002880	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_9[cache_size=0.2,treshold=0.9]	10002880	0.152785	../../result/log/zipf_1_17	0.2	1
LR_7[cache_size=0.2,treshold=0.9]	10002880	0.152785	../../result/log/zipf_1_17	0.2	1
LR_7[cache_size=0.2,treshold=0.8]	9536570	0.152804	../../result/log/zipf_1_17	0.2	1
LR_8[cache_size=0.2,treshold=0.8]	9523014	0.152804	../../result/log/zipf_1_17	0.2	1
LR_9[cache_size=0.2,treshold=0.8]	9536275	0.152805	../../result/log/zipf_1_17	0.2	1
LR_9_id[cache_size=0.2,treshold=0.6]	6184831	0.153077	../../result/log/zipf_1_17	0.2	1
LR_7_id[cache_size=0.2,treshold=0.6]	6184526	0.153079	../../result/log/zipf_1_17	0.2	1
LR_8_id[cache_size=0.2,treshold=0.6]	6183377	0.153084	../../result/log/zipf_1_17	0.2	1
LR_7[cache_size=0.2,treshold=0.7]	7018075	0.154471	../../result/log/zipf_1_17	0.2	1
LR_9[cache_size=0.2,treshold=0.7]	7015849	0.154474	../../result/log/zipf_1_17	0.2	1
LR_8[cache_size=0.2,treshold=0.7]	7010319	0.154484	../../result/log/zipf_1_17	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4850036	0.156839	../../result/log/zipf_1_17	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4849328	0.15684	../../result/log/zipf_1_17	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4849177	0.156844	../../result/log/zipf_1_17	0.2	1
LR_7[cache_size=0.2,treshold=0.6]	5231447	0.157695	../../result/log/zipf_1_17	0.2	1
LR_9[cache_size=0.2,treshold=0.6]	5227521	0.157699	../../result/log/zipf_1_17	0.2	1
LR_8[cache_size=0.2,treshold=0.6]	5228704	0.157703	../../result/log/zipf_1_17	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4063819	0.16096	../../result/log/zipf_1_17	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4064674	0.16096	../../result/log/zipf_1_17	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4061748	0.160965	../../result/log/zipf_1_17	0.2	1
LR_id[cache_size=0.2,treshold=0.3]	3103600	0.162549	../../result/log/zipf_1_17	0.2	1
LR_7_id[cache_size=0.2,treshold=0.3]	2890855	0.164812	../../result/log/zipf_1_17	0.2	1
LR_8_id[cache_size=0.2,treshold=0.3]	2890304	0.164816	../../result/log/zipf_1_17	0.2	1
LR_9_id[cache_size=0.2,treshold=0.3]	2889221	0.16482	../../result/log/zipf_1_17	0.2	1
LR_8[cache_size=0.2,treshold=0.3]	2617155	0.16672	../../result/log/zipf_1_17	0.2	1
LR_7[cache_size=0.2,treshold=0.3]	2615194	0.166728	../../result/log/zipf_1_17	0.2	1
LR_9[cache_size=0.2,treshold=0.3]	2614227	0.166733	../../result/log/zipf_1_17	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5224778	0.0827112	../../result/log/zipf_1_17	0.4	1
LR_id[cache_size=0.4,treshold=0.6]	6621359	0.0862665	../../result/log/zipf_1_17	0.4	1
LR_id[cache_size=0.4,treshold=0.7]	7272915	0.0864219	../../result/log/zipf_1_17	0.4	1
Zipf Optimal Distribution	7661751	0.0867151	../../result/log/zipf_1_17	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5756290	0.0867603	../../result/log/zipf_1_17	0.4	1
LR_id[cache_size=0.4,treshold=0.8]	7837727	0.0868976	../../result/log/zipf_1_17	0.4	1
LR_9_id[cache_size=0.4,treshold=0.7]	6772537	0.0871332	../../result/log/zipf_1_17	0.4	1
LR_8_id[cache_size=0.4,treshold=0.7]	6772129	0.0871346	../../result/log/zipf_1_17	0.4	1
LR_7_id[cache_size=0.4,treshold=0.7]	6770425	0.0871383	../../result/log/zipf_1_17	0.4	1
LR_9_id[cache_size=0.4,treshold=0.8]	7909996	0.087271	../../result/log/zipf_1_17	0.4	1
LR_8_id[cache_size=0.4,treshold=0.8]	7909934	0.087271	../../result/log/zipf_1_17	0.4	1
LR_7_id[cache_size=0.4,treshold=0.8]	7909378	0.087271	../../result/log/zipf_1_17	0.4	1
LR_id[cache_size=0.4,treshold=0.9]	8363667	0.0876955	../../result/log/zipf_1_17	0.4	1
LR_8_id[cache_size=0.4,treshold=0.9]	8687852	0.0883894	../../result/log/zipf_1_17	0.4	1
LR_7_id[cache_size=0.4,treshold=0.9]	8687678	0.0883894	../../result/log/zipf_1_17	0.4	1
LR_9_id[cache_size=0.4,treshold=0.9]	8687772	0.0883895	../../result/log/zipf_1_17	0.4	1
LR_9_id[cache_size=0.4,treshold=0.6]	5413759	0.0888245	../../result/log/zipf_1_17	0.4	1
LR_8_id[cache_size=0.4,treshold=0.6]	5413358	0.0888265	../../result/log/zipf_1_17	0.4	1
LR_7_id[cache_size=0.4,treshold=0.6]	5411665	0.0888322	../../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[cache_size=0.4,treshold=0.9]	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_8[cache_size=0.4,treshold=0.9]	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_9[cache_size=0.4,treshold=0.9]	9240697	0.0897079	../../result/log/zipf_1_17	0.4	1
LR_8[cache_size=0.4,treshold=0.8]	8607827	0.0898513	../../result/log/zipf_1_17	0.4	1
LR_9[cache_size=0.4,treshold=0.8]	8608694	0.0898514	../../result/log/zipf_1_17	0.4	1
LR_7[cache_size=0.4,treshold=0.8]	8608122	0.0898514	../../result/log/zipf_1_17	0.4	1
LR_7[cache_size=0.4,treshold=0.7]	6567879	0.0906525	../../result/log/zipf_1_17	0.4	1
LR_8[cache_size=0.4,treshold=0.7]	6567706	0.0906527	../../result/log/zipf_1_17	0.4	1
LR_9[cache_size=0.4,treshold=0.7]	6568329	0.0906528	../../result/log/zipf_1_17	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4272222	0.0913094	../../result/log/zipf_1_17	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4272323	0.0913111	../../result/log/zipf_1_17	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4270775	0.0913166	../../result/log/zipf_1_17	0.4	1
LR_9[cache_size=0.4,treshold=0.6]	4888938	0.0923504	../../result/log/zipf_1_17	0.4	1
LR_8[cache_size=0.4,treshold=0.6]	4889390	0.0923506	../../result/log/zipf_1_17	0.4	1
LR_7[cache_size=0.4,treshold=0.6]	4889127	0.0923508	../../result/log/zipf_1_17	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3740101	0.0943324	../../result/log/zipf_1_17	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3740335	0.0943325	../../result/log/zipf_1_17	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3740741	0.0943328	../../result/log/zipf_1_17	0.4	1
LR_id[cache_size=0.4,treshold=0.3]	2797609	0.0945734	../../result/log/zipf_1_17	0.4	1
LR_8_id[cache_size=0.4,treshold=0.3]	2652817	0.0965331	../../result/log/zipf_1_17	0.4	1
LR_9_id[cache_size=0.4,treshold=0.3]	2652252	0.0965343	../../result/log/zipf_1_17	0.4	1
LR_7_id[cache_size=0.4,treshold=0.3]	2652199	0.0965359	../../result/log/zipf_1_17	0.4	1
LR_8[cache_size=0.4,treshold=0.3]	2382480	0.0982436	../../result/log/zipf_1_17	0.4	1
LR_7[cache_size=0.4,treshold=0.3]	2382153	0.0982441	../../result/log/zipf_1_17	0.4	1
LR_9[cache_size=0.4,treshold=0.3]	2381894	0.098245	../../result/log/zipf_1_17	0.4	1

zipf_1_18

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	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_9_id[cache_size=0.01,treshold=0.9]	9408961	0.40443	../../result/log/zipf_1_18	0.01	1
LR_8_id[cache_size=0.01,treshold=0.9]	9410041	0.40443	../../result/log/zipf_1_18	0.01	1
LR_7_id[cache_size=0.01,treshold=0.9]	9410403	0.404431	../../result/log/zipf_1_18	0.01	1
LR_id[cache_size=0.01,treshold=0.9]	9118240	0.404441	../../result/log/zipf_1_18	0.01	1
LR_9_id[cache_size=0.01,treshold=0.8]	8857223	0.404643	../../result/log/zipf_1_18	0.01	1
LR_8_id[cache_size=0.01,treshold=0.8]	8855265	0.404646	../../result/log/zipf_1_18	0.01	1
LR_7_id[cache_size=0.01,treshold=0.8]	8853792	0.40465	../../result/log/zipf_1_18	0.01	1
LR_id[cache_size=0.01,treshold=0.8]	8730285	0.404661	../../result/log/zipf_1_18	0.01	1
LR_9[cache_size=0.01,treshold=0.8]	9772939	0.404858	../../result/log/zipf_1_18	0.01	1
LR_8[cache_size=0.01,treshold=0.8]	9739576	0.404889	../../result/log/zipf_1_18	0.01	1
LR_7[cache_size=0.01,treshold=0.8]	9722629	0.404917	../../result/log/zipf_1_18	0.01	1
LR_8[cache_size=0.01,treshold=0.9]	10298097	0.405058	../../result/log/zipf_1_18	0.01	1
LR_9[cache_size=0.01,treshold=0.9]	10299138	0.405058	../../result/log/zipf_1_18	0.01	1
LR_7[cache_size=0.01,treshold=0.9]	10299781	0.405059	../../result/log/zipf_1_18	0.01	1
LR_id[cache_size=0.01,treshold=0.7]	8317476	0.405092	../../result/log/zipf_1_18	0.01	1
Offline Clock 1st iteration	10439737	0.4052	../../result/log/zipf_1_18	0.01	1
LR_9_id[cache_size=0.01,treshold=0.7]	8063454	0.405668	../../result/log/zipf_1_18	0.01	1
LR_8_id[cache_size=0.01,treshold=0.7]	8052709	0.4057	../../result/log/zipf_1_18	0.01	1
LR_7_id[cache_size=0.01,treshold=0.7]	8045554	0.405722	../../result/log/zipf_1_18	0.01	1
LR_id[cache_size=0.01,treshold=0.6]	7803335	0.405906	../../result/log/zipf_1_18	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7072489	0.407542	../../result/log/zipf_1_18	0.01	1
LR_9_id[cache_size=0.01,treshold=0.6]	6820596	0.408856	../../result/log/zipf_1_18	0.01	1
LR_8_id[cache_size=0.01,treshold=0.6]	6800970	0.408957	../../result/log/zipf_1_18	0.01	1
LR_7_id[cache_size=0.01,treshold=0.6]	6790453	0.409016	../../result/log/zipf_1_18	0.01	1
LR_9[cache_size=0.01,treshold=0.7]	7448289	0.409229	../../result/log/zipf_1_18	0.01	1
LR_8[cache_size=0.01,treshold=0.7]	7441892	0.409297	../../result/log/zipf_1_18	0.01	1
LR_7[cache_size=0.01,treshold=0.7]	7447352	0.409313	../../result/log/zipf_1_18	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5352735	0.414494	../../result/log/zipf_1_18	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5350047	0.414532	../../result/log/zipf_1_18	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5352543	0.414534	../../result/log/zipf_1_18	0.01	1
LR_7[cache_size=0.01,treshold=0.6]	5625647	0.415084	../../result/log/zipf_1_18	0.01	1
LR_8[cache_size=0.01,treshold=0.6]	5603976	0.415143	../../result/log/zipf_1_18	0.01	1
LR_9[cache_size=0.01,treshold=0.6]	5577903	0.4152	../../result/log/zipf_1_18	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4377907	0.420158	../../result/log/zipf_1_18	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4371182	0.420198	../../result/log/zipf_1_18	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4351494	0.420276	../../result/log/zipf_1_18	0.01	1
LR_id[cache_size=0.01,treshold=0.3]	3385753	0.423476	../../result/log/zipf_1_18	0.01	1
LR_7_id[cache_size=0.01,treshold=0.3]	3083074	0.426134	../../result/log/zipf_1_18	0.01	1
LR_8_id[cache_size=0.01,treshold=0.3]	3080175	0.426163	../../result/log/zipf_1_18	0.01	1
LR_9_id[cache_size=0.01,treshold=0.3]	3072012	0.42622	../../result/log/zipf_1_18	0.01	1
LR_7[cache_size=0.01,treshold=0.3]	2829302	0.428127	../../result/log/zipf_1_18	0.01	1
LR_8[cache_size=0.01,treshold=0.3]	2830516	0.428127	../../result/log/zipf_1_18	0.01	1
LR_9[cache_size=0.01,treshold=0.3]	2833644	0.428137	../../result/log/zipf_1_18	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5852167	0.209865	../../result/log/zipf_1_18	0.1	1
LR_id[cache_size=0.1,treshold=0.8]	8628039	0.211799	../../result/log/zipf_1_18	0.1	1
LR_id[cache_size=0.1,treshold=0.7]	8189270	0.211882	../../result/log/zipf_1_18	0.1	1
Zipf Optimal Distribution	8924501	0.211883	../../result/log/zipf_1_18	0.1	1
LR_9_id[cache_size=0.1,treshold=0.8]	8754227	0.211942	../../result/log/zipf_1_18	0.1	1
LR_7_id[cache_size=0.1,treshold=0.8]	8754145	0.211942	../../result/log/zipf_1_18	0.1	1
LR_8_id[cache_size=0.1,treshold=0.8]	8754038	0.211943	../../result/log/zipf_1_18	0.1	1
LR_id[cache_size=0.1,treshold=0.9]	9039665	0.21195	../../result/log/zipf_1_18	0.1	1
LR_9_id[cache_size=0.1,treshold=0.9]	9341243	0.212244	../../result/log/zipf_1_18	0.1	1
LR_7_id[cache_size=0.1,treshold=0.9]	9341626	0.212244	../../result/log/zipf_1_18	0.1	1
LR_8_id[cache_size=0.1,treshold=0.9]	9341592	0.212245	../../result/log/zipf_1_18	0.1	1
LR_id[cache_size=0.1,treshold=0.6]	7647267	0.21228	../../result/log/zipf_1_18	0.1	1
LR_9_id[cache_size=0.1,treshold=0.7]	7853494	0.212471	../../result/log/zipf_1_18	0.1	1
LR_7_id[cache_size=0.1,treshold=0.7]	7850797	0.212473	../../result/log/zipf_1_18	0.1	1
LR_8_id[cache_size=0.1,treshold=0.7]	7850456	0.212475	../../result/log/zipf_1_18	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6878956	0.213398	../../result/log/zipf_1_18	0.1	1
LR_9[cache_size=0.1,treshold=0.8]	9741672	0.213594	../../result/log/zipf_1_18	0.1	1
LR_7[cache_size=0.1,treshold=0.8]	9733356	0.213597	../../result/log/zipf_1_18	0.1	1
LR_8[cache_size=0.1,treshold=0.8]	9730334	0.213597	../../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[cache_size=0.1,treshold=0.9]	10268337	0.213822	../../result/log/zipf_1_18	0.1	1
LR_8[cache_size=0.1,treshold=0.9]	10268336	0.213822	../../result/log/zipf_1_18	0.1	1
LR_9[cache_size=0.1,treshold=0.9]	10268339	0.213822	../../result/log/zipf_1_18	0.1	1
LR_9_id[cache_size=0.1,treshold=0.6]	6486303	0.215298	../../result/log/zipf_1_18	0.1	1
LR_7_id[cache_size=0.1,treshold=0.6]	6482567	0.215311	../../result/log/zipf_1_18	0.1	1
LR_8_id[cache_size=0.1,treshold=0.6]	6482470	0.215314	../../result/log/zipf_1_18	0.1	1
LR_9[cache_size=0.1,treshold=0.7]	7147408	0.216413	../../result/log/zipf_1_18	0.1	1
LR_7[cache_size=0.1,treshold=0.7]	7145387	0.216423	../../result/log/zipf_1_18	0.1	1
LR_8[cache_size=0.1,treshold=0.7]	7146208	0.216425	../../result/log/zipf_1_18	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5078846	0.219871	../../result/log/zipf_1_18	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5078375	0.219879	../../result/log/zipf_1_18	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5077209	0.219881	../../result/log/zipf_1_18	0.1	1
LR_8[cache_size=0.1,treshold=0.6]	5363327	0.220687	../../result/log/zipf_1_18	0.1	1
LR_9[cache_size=0.1,treshold=0.6]	5359661	0.220687	../../result/log/zipf_1_18	0.1	1
LR_7[cache_size=0.1,treshold=0.6]	5361294	0.220688	../../result/log/zipf_1_18	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4191256	0.224647	../../result/log/zipf_1_18	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4189562	0.22465	../../result/log/zipf_1_18	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4186886	0.224658	../../result/log/zipf_1_18	0.1	1
LR_id[cache_size=0.1,treshold=0.3]	3208931	0.227074	../../result/log/zipf_1_18	0.1	1
LR_8_id[cache_size=0.1,treshold=0.3]	2976614	0.2294	../../result/log/zipf_1_18	0.1	1
LR_7_id[cache_size=0.1,treshold=0.3]	2974787	0.229412	../../result/log/zipf_1_18	0.1	1
LR_9_id[cache_size=0.1,treshold=0.3]	2974231	0.229413	../../result/log/zipf_1_18	0.1	1
LR_7[cache_size=0.1,treshold=0.3]	2726028	0.231245	../../result/log/zipf_1_18	0.1	1
LR_8[cache_size=0.1,treshold=0.3]	2725888	0.231245	../../result/log/zipf_1_18	0.1	1
LR_9[cache_size=0.1,treshold=0.3]	2724475	0.231254	../../result/log/zipf_1_18	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5677502	0.147262	../../result/log/zipf_1_18	0.2	1
LR_id[cache_size=0.2,treshold=0.7]	7972640	0.149937	../../result/log/zipf_1_18	0.2	1
LR_id[cache_size=0.2,treshold=0.8]	8441973	0.150095	../../result/log/zipf_1_18	0.2	1
LR_id[cache_size=0.2,treshold=0.6]	7396653	0.150098	../../result/log/zipf_1_18	0.2	1
Zipf Optimal Distribution	8501025	0.150135	../../result/log/zipf_1_18	0.2	1
LR_7_id[cache_size=0.2,treshold=0.8]	8538391	0.150334	../../result/log/zipf_1_18	0.2	1
LR_8_id[cache_size=0.2,treshold=0.8]	8539435	0.150335	../../result/log/zipf_1_18	0.2	1
LR_9_id[cache_size=0.2,treshold=0.8]	8539478	0.150335	../../result/log/zipf_1_18	0.2	1
LR_id[cache_size=0.2,treshold=0.9]	8880133	0.150495	../../result/log/zipf_1_18	0.2	1
LR_9_id[cache_size=0.2,treshold=0.7]	7574071	0.150578	../../result/log/zipf_1_18	0.2	1
LR_8_id[cache_size=0.2,treshold=0.7]	7572953	0.15058	../../result/log/zipf_1_18	0.2	1
LR_7_id[cache_size=0.2,treshold=0.7]	7572612	0.15058	../../result/log/zipf_1_18	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6597496	0.150948	../../result/log/zipf_1_18	0.2	1
LR_7_id[cache_size=0.2,treshold=0.9]	9179867	0.150957	../../result/log/zipf_1_18	0.2	1
LR_9_id[cache_size=0.2,treshold=0.9]	9180822	0.150958	../../result/log/zipf_1_18	0.2	1
LR_8_id[cache_size=0.2,treshold=0.9]	9181028	0.150959	../../result/log/zipf_1_18	0.2	1
LR_8[cache_size=0.2,treshold=0.9]	10001082	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_9[cache_size=0.2,treshold=0.9]	10001082	0.152706	../../result/log/zipf_1_18	0.2	1
LR_7[cache_size=0.2,treshold=0.9]	10001082	0.152706	../../result/log/zipf_1_18	0.2	1
LR_7[cache_size=0.2,treshold=0.8]	9531160	0.152725	../../result/log/zipf_1_18	0.2	1
LR_8[cache_size=0.2,treshold=0.8]	9518277	0.152725	../../result/log/zipf_1_18	0.2	1
LR_9[cache_size=0.2,treshold=0.8]	9530717	0.152726	../../result/log/zipf_1_18	0.2	1
LR_9_id[cache_size=0.2,treshold=0.6]	6183808	0.152991	../../result/log/zipf_1_18	0.2	1
LR_7_id[cache_size=0.2,treshold=0.6]	6183597	0.152992	../../result/log/zipf_1_18	0.2	1
LR_8_id[cache_size=0.2,treshold=0.6]	6182464	0.152998	../../result/log/zipf_1_18	0.2	1
LR_7[cache_size=0.2,treshold=0.7]	7019488	0.154386	../../result/log/zipf_1_18	0.2	1
LR_9[cache_size=0.2,treshold=0.7]	7017240	0.154388	../../result/log/zipf_1_18	0.2	1
LR_8[cache_size=0.2,treshold=0.7]	7011633	0.1544	../../result/log/zipf_1_18	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4848241	0.156769	../../result/log/zipf_1_18	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4847388	0.15677	../../result/log/zipf_1_18	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4847207	0.156774	../../result/log/zipf_1_18	0.2	1
LR_7[cache_size=0.2,treshold=0.6]	5230219	0.157625	../../result/log/zipf_1_18	0.2	1
LR_9[cache_size=0.2,treshold=0.6]	5227751	0.157629	../../result/log/zipf_1_18	0.2	1
LR_8[cache_size=0.2,treshold=0.6]	5228225	0.157633	../../result/log/zipf_1_18	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4064793	0.160884	../../result/log/zipf_1_18	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4064000	0.160885	../../result/log/zipf_1_18	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4061832	0.160891	../../result/log/zipf_1_18	0.2	1
LR_id[cache_size=0.2,treshold=0.3]	3103419	0.162456	../../result/log/zipf_1_18	0.2	1
LR_7_id[cache_size=0.2,treshold=0.3]	2891019	0.164725	../../result/log/zipf_1_18	0.2	1
LR_8_id[cache_size=0.2,treshold=0.3]	2890529	0.164729	../../result/log/zipf_1_18	0.2	1
LR_9_id[cache_size=0.2,treshold=0.3]	2889403	0.164733	../../result/log/zipf_1_18	0.2	1
LR_8[cache_size=0.2,treshold=0.3]	2616633	0.16663	../../result/log/zipf_1_18	0.2	1
LR_7[cache_size=0.2,treshold=0.3]	2614507	0.166639	../../result/log/zipf_1_18	0.2	1
LR_9[cache_size=0.2,treshold=0.3]	2613531	0.166644	../../result/log/zipf_1_18	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5223361	0.0826611	../../result/log/zipf_1_18	0.4	1
LR_id[cache_size=0.4,treshold=0.6]	6618955	0.0862246	../../result/log/zipf_1_18	0.4	1
LR_id[cache_size=0.4,treshold=0.7]	7273878	0.0863665	../../result/log/zipf_1_18	0.4	1
Zipf Optimal Distribution	7661309	0.0866641	../../result/log/zipf_1_18	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5748724	0.0867235	../../result/log/zipf_1_18	0.4	1
LR_id[cache_size=0.4,treshold=0.8]	7835397	0.0868498	../../result/log/zipf_1_18	0.4	1
LR_9_id[cache_size=0.4,treshold=0.7]	6773620	0.0870922	../../result/log/zipf_1_18	0.4	1
LR_8_id[cache_size=0.4,treshold=0.7]	6773137	0.0870943	../../result/log/zipf_1_18	0.4	1
LR_7_id[cache_size=0.4,treshold=0.7]	6771483	0.0870967	../../result/log/zipf_1_18	0.4	1
LR_9_id[cache_size=0.4,treshold=0.8]	7907230	0.0872232	../../result/log/zipf_1_18	0.4	1
LR_8_id[cache_size=0.4,treshold=0.8]	7907149	0.0872239	../../result/log/zipf_1_18	0.4	1
LR_7_id[cache_size=0.4,treshold=0.8]	7906497	0.087224	../../result/log/zipf_1_18	0.4	1
LR_id[cache_size=0.4,treshold=0.9]	8361108	0.0876435	../../result/log/zipf_1_18	0.4	1
LR_7_id[cache_size=0.4,treshold=0.9]	8682248	0.088346	../../result/log/zipf_1_18	0.4	1
LR_9_id[cache_size=0.4,treshold=0.9]	8682295	0.0883461	../../result/log/zipf_1_18	0.4	1
LR_8_id[cache_size=0.4,treshold=0.9]	8682321	0.0883467	../../result/log/zipf_1_18	0.4	1
LR_9_id[cache_size=0.4,treshold=0.6]	5412843	0.0887588	../../result/log/zipf_1_18	0.4	1
LR_8_id[cache_size=0.4,treshold=0.6]	5412546	0.0887612	../../result/log/zipf_1_18	0.4	1
LR_7_id[cache_size=0.4,treshold=0.6]	5410547	0.0887671	../../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[cache_size=0.4,treshold=0.9]	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_8[cache_size=0.4,treshold=0.9]	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_9[cache_size=0.4,treshold=0.9]	9239322	0.0896548	../../result/log/zipf_1_18	0.4	1
LR_9[cache_size=0.4,treshold=0.8]	8606890	0.0897961	../../result/log/zipf_1_18	0.4	1
LR_7[cache_size=0.4,treshold=0.8]	8606269	0.0897963	../../result/log/zipf_1_18	0.4	1
LR_8[cache_size=0.4,treshold=0.8]	8605948	0.0897965	../../result/log/zipf_1_18	0.4	1
LR_9[cache_size=0.4,treshold=0.7]	6559790	0.0906075	../../result/log/zipf_1_18	0.4	1
LR_7[cache_size=0.4,treshold=0.7]	6559302	0.0906081	../../result/log/zipf_1_18	0.4	1
LR_8[cache_size=0.4,treshold=0.7]	6558997	0.0906083	../../result/log/zipf_1_18	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4269384	0.0912721	../../result/log/zipf_1_18	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4269493	0.0912738	../../result/log/zipf_1_18	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4267964	0.0912791	../../result/log/zipf_1_18	0.4	1
LR_9[cache_size=0.4,treshold=0.6]	4884896	0.0922985	../../result/log/zipf_1_18	0.4	1
LR_7[cache_size=0.4,treshold=0.6]	4884998	0.0922988	../../result/log/zipf_1_18	0.4	1
LR_8[cache_size=0.4,treshold=0.6]	4885257	0.0922992	../../result/log/zipf_1_18	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3738067	0.0942871	../../result/log/zipf_1_18	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3737406	0.0942873	../../result/log/zipf_1_18	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3737695	0.0942873	../../result/log/zipf_1_18	0.4	1
LR_id[cache_size=0.4,treshold=0.3]	2795824	0.0945284	../../result/log/zipf_1_18	0.4	1
LR_8_id[cache_size=0.4,treshold=0.3]	2651932	0.0964927	../../result/log/zipf_1_18	0.4	1
LR_9_id[cache_size=0.4,treshold=0.3]	2651461	0.0964936	../../result/log/zipf_1_18	0.4	1
LR_7_id[cache_size=0.4,treshold=0.3]	2651369	0.096495	../../result/log/zipf_1_18	0.4	1
LR_8[cache_size=0.4,treshold=0.3]	2379447	0.0982088	../../result/log/zipf_1_18	0.4	1
LR_7[cache_size=0.4,treshold=0.3]	2379087	0.0982092	../../result/log/zipf_1_18	0.4	1
LR_9[cache_size=0.4,treshold=0.3]	2378793	0.09821	../../result/log/zipf_1_18	0.4	1

zipf_1_19

Ignore Obj Size

0.01

Model	Promotion	Miss Ratio	Trace	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_8_id[cache_size=0.01,treshold=0.9]	9410677	0.404493	../../result/log/zipf_1_19	0.01	1
LR_7_id[cache_size=0.01,treshold=0.9]	9411069	0.404493	../../result/log/zipf_1_19	0.01	1
LR_9_id[cache_size=0.01,treshold=0.9]	9409383	0.404493	../../result/log/zipf_1_19	0.01	1
LR_id[cache_size=0.01,treshold=0.9]	9118956	0.404499	../../result/log/zipf_1_19	0.01	1
LR_9_id[cache_size=0.01,treshold=0.8]	8857469	0.4047	../../result/log/zipf_1_19	0.01	1
LR_8_id[cache_size=0.01,treshold=0.8]	8855528	0.404704	../../result/log/zipf_1_19	0.01	1
LR_7_id[cache_size=0.01,treshold=0.8]	8853904	0.404707	../../result/log/zipf_1_19	0.01	1
LR_id[cache_size=0.01,treshold=0.8]	8730231	0.404721	../../result/log/zipf_1_19	0.01	1
LR_9[cache_size=0.01,treshold=0.8]	9774585	0.404917	../../result/log/zipf_1_19	0.01	1
LR_8[cache_size=0.01,treshold=0.8]	9740851	0.404951	../../result/log/zipf_1_19	0.01	1
LR_7[cache_size=0.01,treshold=0.8]	9724440	0.404975	../../result/log/zipf_1_19	0.01	1
LR_8[cache_size=0.01,treshold=0.9]	10300967	0.405117	../../result/log/zipf_1_19	0.01	1
LR_9[cache_size=0.01,treshold=0.9]	10302179	0.405117	../../result/log/zipf_1_19	0.01	1
LR_7[cache_size=0.01,treshold=0.9]	10302521	0.405119	../../result/log/zipf_1_19	0.01	1
LR_id[cache_size=0.01,treshold=0.7]	8315838	0.40516	../../result/log/zipf_1_19	0.01	1
Offline Clock 1st iteration	10442800	0.405256	../../result/log/zipf_1_19	0.01	1
LR_9_id[cache_size=0.01,treshold=0.7]	8062491	0.405724	../../result/log/zipf_1_19	0.01	1
LR_8_id[cache_size=0.01,treshold=0.7]	8051860	0.405756	../../result/log/zipf_1_19	0.01	1
LR_7_id[cache_size=0.01,treshold=0.7]	8044949	0.405779	../../result/log/zipf_1_19	0.01	1
LR_id[cache_size=0.01,treshold=0.6]	7801661	0.405974	../../result/log/zipf_1_19	0.01	1
LR_id[cache_size=0.01,treshold=0.5]	7070103	0.407609	../../result/log/zipf_1_19	0.01	1
LR_9_id[cache_size=0.01,treshold=0.6]	6819616	0.408917	../../result/log/zipf_1_19	0.01	1
LR_8_id[cache_size=0.01,treshold=0.6]	6800029	0.409017	../../result/log/zipf_1_19	0.01	1
LR_7_id[cache_size=0.01,treshold=0.6]	6789166	0.409076	../../result/log/zipf_1_19	0.01	1
LR_9[cache_size=0.01,treshold=0.7]	7449074	0.409285	../../result/log/zipf_1_19	0.01	1
LR_8[cache_size=0.01,treshold=0.7]	7441699	0.409355	../../result/log/zipf_1_19	0.01	1
LR_7[cache_size=0.01,treshold=0.7]	7447270	0.409369	../../result/log/zipf_1_19	0.01	1
LR_9_id[cache_size=0.01,treshold=0.5]	5354665	0.414536	../../result/log/zipf_1_19	0.01	1
LR_8_id[cache_size=0.01,treshold=0.5]	5352336	0.414575	../../result/log/zipf_1_19	0.01	1
LR_7_id[cache_size=0.01,treshold=0.5]	5354640	0.414577	../../result/log/zipf_1_19	0.01	1
LR_7[cache_size=0.01,treshold=0.6]	5626394	0.415125	../../result/log/zipf_1_19	0.01	1
LR_8[cache_size=0.01,treshold=0.6]	5605240	0.415182	../../result/log/zipf_1_19	0.01	1
LR_9[cache_size=0.01,treshold=0.6]	5578484	0.415245	../../result/log/zipf_1_19	0.01	1
LR_7[cache_size=0.01,treshold=0.5]	4379187	0.420192	../../result/log/zipf_1_19	0.01	1
LR_8[cache_size=0.01,treshold=0.5]	4372916	0.420231	../../result/log/zipf_1_19	0.01	1
LR_9[cache_size=0.01,treshold=0.5]	4352719	0.420313	../../result/log/zipf_1_19	0.01	1
LR_id[cache_size=0.01,treshold=0.3]	3387293	0.423521	../../result/log/zipf_1_19	0.01	1
LR_7_id[cache_size=0.01,treshold=0.3]	3083078	0.426186	../../result/log/zipf_1_19	0.01	1
LR_8_id[cache_size=0.01,treshold=0.3]	3079583	0.426215	../../result/log/zipf_1_19	0.01	1
LR_9_id[cache_size=0.01,treshold=0.3]	3071510	0.426272	../../result/log/zipf_1_19	0.01	1
LR_8[cache_size=0.01,treshold=0.3]	2830825	0.428173	../../result/log/zipf_1_19	0.01	1
LR_7[cache_size=0.01,treshold=0.3]	2829026	0.428175	../../result/log/zipf_1_19	0.01	1
LR_9[cache_size=0.01,treshold=0.3]	2833220	0.428188	../../result/log/zipf_1_19	0.01	1

0.1

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5852464	0.209927	../../result/log/zipf_1_19	0.1	1
LR_id[cache_size=0.1,treshold=0.8]	8629384	0.211872	../../result/log/zipf_1_19	0.1	1
LR_id[cache_size=0.1,treshold=0.7]	8191979	0.211936	../../result/log/zipf_1_19	0.1	1
Zipf Optimal Distribution	8923837	0.21197	../../result/log/zipf_1_19	0.1	1
LR_7_id[cache_size=0.1,treshold=0.8]	8754745	0.212015	../../result/log/zipf_1_19	0.1	1
LR_9_id[cache_size=0.1,treshold=0.8]	8754920	0.212016	../../result/log/zipf_1_19	0.1	1
LR_8_id[cache_size=0.1,treshold=0.8]	8754617	0.212016	../../result/log/zipf_1_19	0.1	1
LR_id[cache_size=0.1,treshold=0.9]	9039755	0.212031	../../result/log/zipf_1_19	0.1	1
LR_9_id[cache_size=0.1,treshold=0.9]	9342094	0.21231	../../result/log/zipf_1_19	0.1	1
LR_7_id[cache_size=0.1,treshold=0.9]	9342552	0.212311	../../result/log/zipf_1_19	0.1	1
LR_8_id[cache_size=0.1,treshold=0.9]	9342487	0.212311	../../result/log/zipf_1_19	0.1	1
LR_id[cache_size=0.1,treshold=0.6]	7647777	0.212341	../../result/log/zipf_1_19	0.1	1
LR_9_id[cache_size=0.1,treshold=0.7]	7854937	0.212546	../../result/log/zipf_1_19	0.1	1
LR_7_id[cache_size=0.1,treshold=0.7]	7852605	0.212549	../../result/log/zipf_1_19	0.1	1
LR_8_id[cache_size=0.1,treshold=0.7]	7852206	0.212552	../../result/log/zipf_1_19	0.1	1
LR_id[cache_size=0.1,treshold=0.5]	6877809	0.213473	../../result/log/zipf_1_19	0.1	1
LR_9[cache_size=0.1,treshold=0.8]	9745686	0.213665	../../result/log/zipf_1_19	0.1	1
LR_7[cache_size=0.1,treshold=0.8]	9737676	0.213668	../../result/log/zipf_1_19	0.1	1
LR_8[cache_size=0.1,treshold=0.8]	9734226	0.213668	../../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[cache_size=0.1,treshold=0.9]	10270590	0.213883	../../result/log/zipf_1_19	0.1	1
LR_8[cache_size=0.1,treshold=0.9]	10270587	0.213883	../../result/log/zipf_1_19	0.1	1
LR_9[cache_size=0.1,treshold=0.9]	10270589	0.213883	../../result/log/zipf_1_19	0.1	1
LR_9_id[cache_size=0.1,treshold=0.6]	6485766	0.215376	../../result/log/zipf_1_19	0.1	1
LR_7_id[cache_size=0.1,treshold=0.6]	6481970	0.21539	../../result/log/zipf_1_19	0.1	1
LR_8_id[cache_size=0.1,treshold=0.6]	6482005	0.215393	../../result/log/zipf_1_19	0.1	1
LR_9[cache_size=0.1,treshold=0.7]	7147789	0.216477	../../result/log/zipf_1_19	0.1	1
LR_7[cache_size=0.1,treshold=0.7]	7146054	0.216485	../../result/log/zipf_1_19	0.1	1
LR_8[cache_size=0.1,treshold=0.7]	7147145	0.216487	../../result/log/zipf_1_19	0.1	1
LR_9_id[cache_size=0.1,treshold=0.5]	5076838	0.219951	../../result/log/zipf_1_19	0.1	1
LR_8_id[cache_size=0.1,treshold=0.5]	5076289	0.21996	../../result/log/zipf_1_19	0.1	1
LR_7_id[cache_size=0.1,treshold=0.5]	5075084	0.219962	../../result/log/zipf_1_19	0.1	1
LR_8[cache_size=0.1,treshold=0.6]	5361338	0.220758	../../result/log/zipf_1_19	0.1	1
LR_9[cache_size=0.1,treshold=0.6]	5357160	0.220761	../../result/log/zipf_1_19	0.1	1
LR_7[cache_size=0.1,treshold=0.6]	5359165	0.220761	../../result/log/zipf_1_19	0.1	1
LR_8[cache_size=0.1,treshold=0.5]	4189747	0.224721	../../result/log/zipf_1_19	0.1	1
LR_7[cache_size=0.1,treshold=0.5]	4187890	0.224725	../../result/log/zipf_1_19	0.1	1
LR_9[cache_size=0.1,treshold=0.5]	4185335	0.224731	../../result/log/zipf_1_19	0.1	1
LR_id[cache_size=0.1,treshold=0.3]	3210331	0.227139	../../result/log/zipf_1_19	0.1	1
LR_8_id[cache_size=0.1,treshold=0.3]	2977124	0.229471	../../result/log/zipf_1_19	0.1	1
LR_9_id[cache_size=0.1,treshold=0.3]	2974907	0.229481	../../result/log/zipf_1_19	0.1	1
LR_7_id[cache_size=0.1,treshold=0.3]	2975448	0.229481	../../result/log/zipf_1_19	0.1	1
LR_7[cache_size=0.1,treshold=0.3]	2726451	0.231308	../../result/log/zipf_1_19	0.1	1
LR_8[cache_size=0.1,treshold=0.3]	2726410	0.231308	../../result/log/zipf_1_19	0.1	1
LR_9[cache_size=0.1,treshold=0.3]	2725232	0.231315	../../result/log/zipf_1_19	0.1	1

0.2

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5678610	0.147359	../../result/log/zipf_1_19	0.2	1
LR_id[cache_size=0.2,treshold=0.7]	7971756	0.150029	../../result/log/zipf_1_19	0.2	1
LR_id[cache_size=0.2,treshold=0.8]	8442812	0.150187	../../result/log/zipf_1_19	0.2	1
LR_id[cache_size=0.2,treshold=0.6]	7400389	0.150191	../../result/log/zipf_1_19	0.2	1
Zipf Optimal Distribution	8501803	0.150225	../../result/log/zipf_1_19	0.2	1
LR_7_id[cache_size=0.2,treshold=0.8]	8540239	0.150421	../../result/log/zipf_1_19	0.2	1
LR_8_id[cache_size=0.2,treshold=0.8]	8541229	0.150422	../../result/log/zipf_1_19	0.2	1
LR_9_id[cache_size=0.2,treshold=0.8]	8541371	0.150422	../../result/log/zipf_1_19	0.2	1
LR_id[cache_size=0.2,treshold=0.9]	8880816	0.150595	../../result/log/zipf_1_19	0.2	1
LR_9_id[cache_size=0.2,treshold=0.7]	7577046	0.150665	../../result/log/zipf_1_19	0.2	1
LR_7_id[cache_size=0.2,treshold=0.7]	7575633	0.150667	../../result/log/zipf_1_19	0.2	1
LR_8_id[cache_size=0.2,treshold=0.7]	7575859	0.150668	../../result/log/zipf_1_19	0.2	1
LR_id[cache_size=0.2,treshold=0.5]	6598915	0.151029	../../result/log/zipf_1_19	0.2	1
LR_7_id[cache_size=0.2,treshold=0.9]	9181435	0.151043	../../result/log/zipf_1_19	0.2	1
LR_9_id[cache_size=0.2,treshold=0.9]	9182305	0.151044	../../result/log/zipf_1_19	0.2	1
LR_8_id[cache_size=0.2,treshold=0.9]	9182539	0.151045	../../result/log/zipf_1_19	0.2	1
LR_8[cache_size=0.2,treshold=0.9]	10003476	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_9[cache_size=0.2,treshold=0.9]	10003476	0.152791	../../result/log/zipf_1_19	0.2	1
LR_7[cache_size=0.2,treshold=0.9]	10003476	0.152791	../../result/log/zipf_1_19	0.2	1
LR_8[cache_size=0.2,treshold=0.8]	9527439	0.152809	../../result/log/zipf_1_19	0.2	1
LR_7[cache_size=0.2,treshold=0.8]	9540045	0.15281	../../result/log/zipf_1_19	0.2	1
LR_9[cache_size=0.2,treshold=0.8]	9539643	0.152811	../../result/log/zipf_1_19	0.2	1
LR_9_id[cache_size=0.2,treshold=0.6]	6187691	0.153081	../../result/log/zipf_1_19	0.2	1
LR_7_id[cache_size=0.2,treshold=0.6]	6187412	0.153082	../../result/log/zipf_1_19	0.2	1
LR_8_id[cache_size=0.2,treshold=0.6]	6186171	0.153088	../../result/log/zipf_1_19	0.2	1
LR_7[cache_size=0.2,treshold=0.7]	7018961	0.154486	../../result/log/zipf_1_19	0.2	1
LR_9[cache_size=0.2,treshold=0.7]	7016787	0.154489	../../result/log/zipf_1_19	0.2	1
LR_8[cache_size=0.2,treshold=0.7]	7011377	0.154498	../../result/log/zipf_1_19	0.2	1
LR_7_id[cache_size=0.2,treshold=0.5]	4849243	0.156861	../../result/log/zipf_1_19	0.2	1
LR_9_id[cache_size=0.2,treshold=0.5]	4848378	0.156863	../../result/log/zipf_1_19	0.2	1
LR_8_id[cache_size=0.2,treshold=0.5]	4848075	0.156868	../../result/log/zipf_1_19	0.2	1
LR_7[cache_size=0.2,treshold=0.6]	5231219	0.157735	../../result/log/zipf_1_19	0.2	1
LR_9[cache_size=0.2,treshold=0.6]	5228001	0.15774	../../result/log/zipf_1_19	0.2	1
LR_8[cache_size=0.2,treshold=0.6]	5228702	0.157744	../../result/log/zipf_1_19	0.2	1
LR_8[cache_size=0.2,treshold=0.5]	4063624	0.16099	../../result/log/zipf_1_19	0.2	1
LR_7[cache_size=0.2,treshold=0.5]	4062831	0.160991	../../result/log/zipf_1_19	0.2	1
LR_9[cache_size=0.2,treshold=0.5]	4060749	0.160996	../../result/log/zipf_1_19	0.2	1
LR_id[cache_size=0.2,treshold=0.3]	3103858	0.162548	../../result/log/zipf_1_19	0.2	1
LR_7_id[cache_size=0.2,treshold=0.3]	2889792	0.164828	../../result/log/zipf_1_19	0.2	1
LR_8_id[cache_size=0.2,treshold=0.3]	2889207	0.164832	../../result/log/zipf_1_19	0.2	1
LR_9_id[cache_size=0.2,treshold=0.3]	2888117	0.164836	../../result/log/zipf_1_19	0.2	1
LR_8[cache_size=0.2,treshold=0.3]	2617038	0.166725	../../result/log/zipf_1_19	0.2	1
LR_7[cache_size=0.2,treshold=0.3]	2614883	0.166734	../../result/log/zipf_1_19	0.2	1
LR_9[cache_size=0.2,treshold=0.3]	2613982	0.166738	../../result/log/zipf_1_19	0.2	1

0.4

Model	Promotion	Miss Ratio	Trace	Cache Size	Ignore Obj Size
Offline Clock 2nd iteration	5227240	0.0827181	../../result/log/zipf_1_19	0.4	1
LR_id[cache_size=0.4,treshold=0.6]	6629563	0.0862773	../../result/log/zipf_1_19	0.4	1
LR_id[cache_size=0.4,treshold=0.7]	7277508	0.086428	../../result/log/zipf_1_19	0.4	1
Zipf Optimal Distribution	7662557	0.0867323	../../result/log/zipf_1_19	0.4	1
LR_id[cache_size=0.4,treshold=0.5]	5762523	0.0867773	../../result/log/zipf_1_19	0.4	1
LR_id[cache_size=0.4,treshold=0.8]	7839055	0.0869131	../../result/log/zipf_1_19	0.4	1
LR_9_id[cache_size=0.4,treshold=0.7]	6776845	0.0871428	../../result/log/zipf_1_19	0.4	1
LR_8_id[cache_size=0.4,treshold=0.7]	6776240	0.0871441	../../result/log/zipf_1_19	0.4	1
LR_7_id[cache_size=0.4,treshold=0.7]	6774512	0.0871471	../../result/log/zipf_1_19	0.4	1
LR_7_id[cache_size=0.4,treshold=0.8]	7909913	0.087278	../../result/log/zipf_1_19	0.4	1
LR_8_id[cache_size=0.4,treshold=0.8]	7910430	0.0872782	../../result/log/zipf_1_19	0.4	1
LR_9_id[cache_size=0.4,treshold=0.8]	7910454	0.0872782	../../result/log/zipf_1_19	0.4	1
LR_id[cache_size=0.4,treshold=0.9]	8364424	0.0876923	../../result/log/zipf_1_19	0.4	1
LR_9_id[cache_size=0.4,treshold=0.9]	8688734	0.088387	../../result/log/zipf_1_19	0.4	1
LR_8_id[cache_size=0.4,treshold=0.9]	8688779	0.0883871	../../result/log/zipf_1_19	0.4	1
LR_7_id[cache_size=0.4,treshold=0.9]	8688685	0.0883872	../../result/log/zipf_1_19	0.4	1
LR_9_id[cache_size=0.4,treshold=0.6]	5415633	0.0888408	../../result/log/zipf_1_19	0.4	1
LR_8_id[cache_size=0.4,treshold=0.6]	5415350	0.0888433	../../result/log/zipf_1_19	0.4	1
LR_7_id[cache_size=0.4,treshold=0.6]	5413295	0.0888493	../../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[cache_size=0.4,treshold=0.9]	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_8[cache_size=0.4,treshold=0.9]	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_9[cache_size=0.4,treshold=0.9]	9241538	0.0897029	../../result/log/zipf_1_19	0.4	1
LR_9[cache_size=0.4,treshold=0.8]	8613404	0.0898297	../../result/log/zipf_1_19	0.4	1
LR_8[cache_size=0.4,treshold=0.8]	8612504	0.0898298	../../result/log/zipf_1_19	0.4	1
LR_7[cache_size=0.4,treshold=0.8]	8612834	0.0898298	../../result/log/zipf_1_19	0.4	1
LR_8[cache_size=0.4,treshold=0.7]	6570367	0.0906611	../../result/log/zipf_1_19	0.4	1
LR_9[cache_size=0.4,treshold=0.7]	6571009	0.0906615	../../result/log/zipf_1_19	0.4	1
LR_7[cache_size=0.4,treshold=0.7]	6570572	0.0906615	../../result/log/zipf_1_19	0.4	1
LR_9_id[cache_size=0.4,treshold=0.5]	4274549	0.0913376	../../result/log/zipf_1_19	0.4	1
LR_8_id[cache_size=0.4,treshold=0.5]	4274688	0.0913389	../../result/log/zipf_1_19	0.4	1
LR_7_id[cache_size=0.4,treshold=0.5]	4273128	0.0913445	../../result/log/zipf_1_19	0.4	1
LR_7[cache_size=0.4,treshold=0.6]	4891710	0.0923776	../../result/log/zipf_1_19	0.4	1
LR_9[cache_size=0.4,treshold=0.6]	4891576	0.0923777	../../result/log/zipf_1_19	0.4	1
LR_8[cache_size=0.4,treshold=0.6]	4892065	0.0923778	../../result/log/zipf_1_19	0.4	1
LR_7[cache_size=0.4,treshold=0.5]	3742200	0.0943506	../../result/log/zipf_1_19	0.4	1
LR_8[cache_size=0.4,treshold=0.5]	3742627	0.0943506	../../result/log/zipf_1_19	0.4	1
LR_9[cache_size=0.4,treshold=0.5]	3741938	0.094351	../../result/log/zipf_1_19	0.4	1
LR_id[cache_size=0.4,treshold=0.3]	2797279	0.0945866	../../result/log/zipf_1_19	0.4	1
LR_8_id[cache_size=0.4,treshold=0.3]	2651871	0.0965619	../../result/log/zipf_1_19	0.4	1
LR_9_id[cache_size=0.4,treshold=0.3]	2651334	0.0965631	../../result/log/zipf_1_19	0.4	1
LR_7_id[cache_size=0.4,treshold=0.3]	2651298	0.096564	../../result/log/zipf_1_19	0.4	1
LR_8[cache_size=0.4,treshold=0.3]	2383206	0.098261	../../result/log/zipf_1_19	0.4	1
LR_7[cache_size=0.4,treshold=0.3]	2382856	0.0982613	../../result/log/zipf_1_19	0.4	1
LR_9[cache_size=0.4,treshold=0.3]	2382602	0.098262	../../result/log/zipf_1_19	0.4	1