Threshold optimization and random undersampling for imbalanced credit card data

Journal of Big Data

Table 13 Results for the CatBoost depth 5 classifier

Technique	Threshold	TPR	FPR	FNR	TNR	F-meas	G-mean	MCC	Precision
F-meas	0.0158	0.8923	0.0081	0.1077	0.9919	0.2831	0.9406	0.3844	0.1700
F-meas NC	0.1760	0.8553	0.0008	0.1447	0.9992	0.7489	0.9243	0.7555	0.6711
G-mean	0.0120	0.8988	0.0122	0.1012	0.9878	0.2133	0.9421	0.3256	0.1223
G-mean NC	0.0201	0.8872	0.0061	0.1128	0.9939	0.3458	0.9389	0.4338	0.2182
MCC	0.0119	0.8990	0.0123	0.1010	0.9877	0.2123	0.9422	0.3248	0.1216
MCC NC	0.0201	0.8872	0.0061	0.1128	0.9939	0.3458	0.9389	0.4338	0.2182
Precision	0.0158	0.8923	0.0081	0.1077	0.9919	0.2831	0.9406	0.3844	0.1700
Precision NC	0.4323	0.8347	0.0004	0.1653	0.9996	0.8107	0.9133	0.8115	0.7912
C	0.0122	0.8977	0.0110	0.1023	0.9890	0.2200	0.9421	0.3328	0.1256
D	0.5000	0.8333	0.0003	0.1667	0.9997	0.8268	0.9126	0.8269	0.8218