PerformanceVector:
accuracy: 99.93% +/- 0.01% (mikro: 99.93%)
ConfusionMatrix:
True:	0	1
0:	284253	132
1:	62	360
precision: 85.68% +/- 6.02% (mikro: 85.31%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284253	132
1:	62	360
recall: 73.14% +/- 6.06% (mikro: 73.17%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284253	132
1:	62	360
AUC (optimistic): 0.965 +/- 0.028 (mikro: 0.965) (positive class: 1)
AUC: 0.858 +/- 0.035 (mikro: 0.858) (positive class: 1)
AUC (pessimistic): 0.752 +/- 0.057 (mikro: 0.752) (positive class: 1)


Use random forest tree:

PerformanceVector:
accuracy: 99.87% +/- 0.01% (mikro: 99.87%)
ConfusionMatrix:
True:	0	1
0:	284298	342
1:	17	150
precision: 93.21% +/- 7.43% (mikro: 89.82%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284298	342
1:	17	150
recall: 30.47% +/- 12.44% (mikro: 30.49%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284298	342
1:	17	150
AUC (optimistic): 0.992 +/- 0.010 (mikro: 0.992) (positive class: 1)
AUC: 0.852 +/- 0.039 (mikro: 0.852) (positive class: 1)
AUC (pessimistic): 0.713 +/- 0.081 (mikro: 0.713) (positive class: 1)

PerformanceVector

PerformanceVector:
accuracy: 99.84% +/- 0.01% (mikro: 99.84%)
ConfusionMatrix:
True:	0	1
0:	284310	456
1:	5	36
precision: 93.00% +/- 11.40% (mikro: 87.80%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284310	456
1:	5	36
recall: 7.34% +/- 4.55% (mikro: 7.32%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284310	456
1:	5	36
AUC (optimistic): 0.998 +/- 0.006 (mikro: 0.998) (positive class: 1)
AUC: 0.537 +/- 0.024 (mikro: 0.537) (positive class: 1)
AUC (pessimistic): 0.075 +/- 0.044 (mikro: 0.075) (positive class: 1)

PerformanceVector

PerformanceVector:
accuracy: 99.85% +/- 0.01% (mikro: 99.85%)
ConfusionMatrix:
True:	0	1
0:	284295	408
1:	20	84
precision: 81.93% +/- 12.69% (mikro: 80.77%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284295	408
1:	20	84
recall: 17.08% +/- 5.20% (mikro: 17.07%) (positive class: 1)
ConfusionMatrix:
True:	0	1
0:	284295	408
1:	20	84
AUC (optimistic): 0.992 +/- 0.010 (mikro: 0.992) (positive class: 1)
AUC: 0.586 +/- 0.026 (mikro: 0.586) (positive class: 1)
AUC (pessimistic): 0.181 +/- 0.055 (mikro: 0.181) (positive class: 1)