Table 4 5-fold cross-validation results... | Emerald Publishing

Table 4

5-fold cross-validation results with 95% confidence intervals and inference time on MSLD v2

Model	Acc	Pre	Rec	F1 − score	Av. IT (ms/image)
W-Random Forest	0.9089(0.9032–0.9146)	0.9137(0.9092–0.9181)	0.9089(0.9032–0.9146)	0.9081(0.9022–0.9140)	0.3444
W-L-SVM	0.9592(0.9472–0.9712)	0.9595(0.9475–0.9715)	0.9592(0.9472–0.9712)	0.9592(0.9472–0.9712)	0.0406
W-LightGBM	0.9511(0.9417–0.9604)	0.9515(0.9422–0.9608)	0.9511(0.9417–0.9604)	0.9510(0.9416–0.9604)	0.3370
W-Extra Trees	0.9325(0.9217–0.9433)	0.9341(0.9241–0.9441)	0.9325(0.9217–0.9433)	0.9325(0.9218–0.9432)	0.9917
W-XGBoost	0.9302(0.9195–0.9409)	0.9309(0.9205–0.9414)	0.9302(0.9195–0.9409)	0.9301(0.9195–0.9408)	0.0319
Proposed	0.9828(0.9781–0.9876)	0.9831(0.9786–0.9876)	0.9828(0.9781–0.9876)	0.9828(0.9782–0.9875)	5.3471

Model	Acc	Pre	Rec	F1 − score	Av. IT (ms/image)
W-Random Forest	0.9089(0.9032–0.9146)	0.9137(0.9092–0.9181)	0.9089(0.9032–0.9146)	0.9081(0.9022–0.9140)	0.3444
W-L-SVM	0.9592(0.9472–0.9712)	0.9595(0.9475–0.9715)	0.9592(0.9472–0.9712)	0.9592(0.9472–0.9712)	0.0406
W-LightGBM	0.9511(0.9417–0.9604)	0.9515(0.9422–0.9608)	0.9511(0.9417–0.9604)	0.9510(0.9416–0.9604)	0.3370
W-Extra Trees	0.9325(0.9217–0.9433)	0.9341(0.9241–0.9441)	0.9325(0.9217–0.9433)	0.9325(0.9218–0.9432)	0.9917
W-XGBoost	0.9302(0.9195–0.9409)	0.9309(0.9205–0.9414)	0.9302(0.9195–0.9409)	0.9301(0.9195–0.9408)	0.0319
Proposed	0.9828(0.9781–0.9876)	0.9831(0.9786–0.9876)	0.9828(0.9781–0.9876)	0.9828(0.9782–0.9875)	5.3471

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