Threshold optimization and random undersampling for imbalanced credit card data

Journal of Big Data

Table 5 Results for the CatBoost depth 1 classifier

Technique	Threshold	TPR	FPR	FNR	TNR	F-meas	G-mean	MCC	Precision
F-meas	0.3100	0.9281	0.0690	0.0719	0.9310	0.0458	0.9293	0.1412	0.0235
F-meas NC	0.3760	0.9207	0.0552	0.0793	0.9448	0.0609	0.9325	0.1623	0.0317
G-mean	0.2992	0.9301	0.0717	0.0699	0.9283	0.0440	0.9291	0.1383	0.0225
G-mean NC	0.3783	0.9201	0.0544	0.0799	0.9456	0.0612	0.9326	0.1629	0.0319
MCC	0.2921	0.9313	0.0741	0.0687	0.9259	0.0427	0.9285	0.1361	0.0219
MCC NC	0.3916	0.9193	0.0524	0.0807	0.9476	0.0641	0.9331	0.1669	0.0334
Precision	0.3311	0.9250	0.0627	0.0750	0.9373	0.0494	0.9310	0.1473	0.0254
Precision NC	0.8357	0.8594	0.0095	0.1406	0.9905	0.3031	0.9219	0.3922	0.2045
C	0.5000	0.9099	0.0339	0.0901	0.9661	0.0873	0.9375	0.1993	0.0459
D	0.5000	0.9099	0.0339	0.0901	0.9661	0.0873	0.9375	0.1993	0.0459