Table 3 5-fold cross-validation results... | Emerald Publishing

Table 3

5-fold cross-validation results with 95% confidence intervals and inference time on MSCI dataset

Model	Acc	Pre	Rec	F1 − score	Av. IT (ms/image)
W-Random Forest	0.9539(0.9445–0.9632)	0.9543(0.9452–0.9634)	0.9539(0.9445–0.9632)	0.9538(0.9444–0.9632)	0.3061
W-L-SVM	0.9779(0.9650–0.9908)	0.9782(0.9654–0.9909)	0.9779(0.9640–0.9908)	0.9778(0.9649–0.9908)	0.0554
W-LightGBM	0.9691(0.9579–0.9804)	0.9694(0.9583–0.9805)	0.9691(0.9579–0.9804)	0.9690(0.9577–0.9804)	0.1291
W-extra Trees	0.9524(0.9367–0.9680)	0.9527(0.9375–0.9680)	0.9524(0.9367–0.9680)	0.9523(0.9366–0.9680)	0.8191
W-XGBoost	0.9425(0.9225–0.9625)	0.9428(0.9229–0.9626)	0.9424(0.9225–0.9625)	0.9423(0.9222–0.9625)	0.0190
Proposed	0.9893(0.9872–0.9914)	0.9894(0.9873–0.9916)	0.9893(0.9872–0.9914)	0.9893(0.9872–0.9914)	1.3966

Model	Acc	Pre	Rec	F1 − score	Av. IT (ms/image)
W-Random Forest	0.9539(0.9445–0.9632)	0.9543(0.9452–0.9634)	0.9539(0.9445–0.9632)	0.9538(0.9444–0.9632)	0.3061
W-L-SVM	0.9779(0.9650–0.9908)	0.9782(0.9654–0.9909)	0.9779(0.9640–0.9908)	0.9778(0.9649–0.9908)	0.0554
W-LightGBM	0.9691(0.9579–0.9804)	0.9694(0.9583–0.9805)	0.9691(0.9579–0.9804)	0.9690(0.9577–0.9804)	0.1291
W-extra Trees	0.9524(0.9367–0.9680)	0.9527(0.9375–0.9680)	0.9524(0.9367–0.9680)	0.9523(0.9366–0.9680)	0.8191
W-XGBoost	0.9425(0.9225–0.9625)	0.9428(0.9229–0.9626)	0.9424(0.9225–0.9625)	0.9423(0.9222–0.9625)	0.0190
Proposed	0.9893(0.9872–0.9914)	0.9894(0.9873–0.9916)	0.9893(0.9872–0.9914)	0.9893(0.9872–0.9914)	1.3966

Note(s): Acc–Accuracy, Pre–Precision, Rec–Recall, Av. IT–Average Inference Time