Predict the Entrepreneurial Intention of Fresh Graduate Students Based on an Adaptive Support Vector Machine Framework

Table 7

Results obtained by the proposed RF-CSCA-SVM.

Fold No.	RF-CSCA-SVM
	Confusion matrix		Accuracy	Sensitivity	Specificity	MCC
1	36	2	0.8333	0.9474	0.6364	0.6361
	8	14
2	34	3	0.8500	0.9189	0.7391	0.6787
	6	17
3	30	4	0.8333	0.8824	0.7692	0.6591
	6	20
4	29	3	0.8167	0.9063	0.7143	0.6367
	8	20
5	34	1	0.8167	0.9714	0.6000	0.6371
	10	15
6	32	2	0.8333	0.9412	0.6923	0.6659
	8	18
7	28	5	0.8333	0.8485	0.8148	0.6633
	5	22
8	30	0	0.8500	0.9189	0.7391	0.6787
	14	16
9	34	3	0.8500	0.9459	0.6957	0.6807
	6	17
10	27	1	0.8333	0.8438	0.8214	0.6652
	12	20
Avg.			0.8350	0.9125	0.7222	0.6602
Dev.			0.0123	0.0428	0.0708	0.0178