Framework for Classification of Chest X-Rays into Normal/COVID-19 Using Brownian-Mayfly-Algorithm Selected Hybrid Features

Table 4

Experimental outcome of VGG16 with SoftMax classifier through 10-fold validation.

Cross validation	TP	FN	TN	FP	AC	PR	SE	SP	F1S	NPV
Fold1	217	23	223	17	0.9167	0.9274	0.9042	0.9292	0.9156	0.9065
Fold2	222	19	219	20	0.9187	0.9174	0.9212	0.9163	0.9193	0.9202
Fold3	228	18	219	15	0.9313	0.9383	0.9268	0.9359	0.9325	0.9241
Fold4	221	14	227	18	0.9333	0.9247	0.9404	0.9265	0.9325	0.9419
Fold5	231	11	221	17	0.9417	0.9315	0.9545	0.9286	0.9429	0.9526
Fold6	224	14	233	9	0.9521	0.9614	0.9412	0.9628	0.9512	0.9433
Fold7	226	15	221	18	0.9313	0.9262	0.9378	0.9247	0.9320	0.9364
Fold8	226	14	221	19	0.9313	0.9224	0.9417	0.9208	0.9320	0.9404
Fold9	228	19	216	17	0.9250	0.9306	0.9231	0.9270	0.9268	0.9191
Fold10	220	19	219	22	0.9146	0.9091	0.9205	0.9087	0.9148	0.9202