An Improved Grey Wolf Optimization Strategy Enhanced SVM and Its Application in Predicting the Second Major

Table 4

The detailed results obtained by IGWO-SVM.

Fold	Selected feature subset	ACC	AUC	SE	SP
#1	F1, F3, F6, F7, F8, F10	0.9268	0.9262	0.9000	0.9524
#2	F1, F3, F5, F6, F7, F8, F11	0.8750	0.8759	0.8947	0.8571
#3	F1, F2, F3, F7, F8, F10, F11	0.8780	0.8774	0.8500	0.9048
#4	F1, F3, F7, F8, F10, F11	0.8500	0.8500	0.8000	0.9000
#5	F1, F3, F4, F7, F8, F10, F11	0.8750	0.8750	0.8500	0.9000
#6	F1, F2, F5, F7, F8	0.8537	0.8536	0.8500	0.8571
#7	F1, F3, F7, F9, F10, F11	0.9024	0.9024	0.9000	0.9048
#8	F1, F3, F6, F8, F10	0.8500	0.8500	0.8500	0.8500
#9	F1, F3, F7, F9, F10, F11	0.8750	0.8750	0.8000	0.9500
#10	F3, F7, F8, F10, F11	0.8500	0.8496	0.8421	0.8571
Avg.	N/A	0.8736	0.8735	0.8537	0.8933
Dev.	N/A	0.0253	0.0252	0.0364	0.0378

Avg. and dev. means the average value and standard deviation of the 10-fold CV results.