[Retracted] Big Data Analytics for Complex Credit Risk Assessment of Network Lending Based on SMOTE Algorithm

Table 4

Classification results summary of each model.

Model	Original training set							New training set
		0	1	True positive rate	True negative rate	Accuracy rate	AUC		0	1	True positive rate	True negative rate	Accuracy rate	AUC
CART	0	13	2	0.7	0.977	0.972	0.885	0	13	1	0.932	0.962	0.962	0.948
	1	12	481					1	17	476
C4.5	0	8	5	0.5	0.975	0.964	0.784	0	12	1	0.866	0.971	0.972	0.921
	1	13	483					1	10	481
AdaBoost	0	8	5	0.5	0.985	0.972	0.792	0	11	3	0.7	0.971	0.963	0.882
	1	7	488					1	13	480
SVM	0	7	6	0.531	0.992	0.97	0.761	0	12	4	0.732	0.975	0.961	0.854
	1	2	492					1	11	479
ANN	0	9	4	0.666	0.981	0.972	0.825	0	11	3	0.7	0.983	0.981	0.891
	1	8	485					1	4	489
RF	0	9	4	0.665	0.997	0.987	0.833	0	14	0	2	0.971	0.972	0.984