Table 6.

Deep boosted feature space and ensemble classification (DBFS-EC) 60:40% data portioning (training: testing).

Classifiers	Deep Hybrid Boosted Feature Space
	Acc. %	Rec.	Pre.	F1-Score	MCC
SVM	99.41	0.9924	0.9950	0.9937	0.9876
MLP	99.41	0.9974	0.9918	0.9940	0.9888
AdaboostM1	99.46	0.9862	1.0000	0.9941	0.9863
Proposed DBFS-EC	99.56	0.9899	0.9991	0.9945	0.9892