Table 5.

Sentiment AUC comparison on binomial dataset

Algorithm	Train–test split percentage							10-FCV
	10%	20%	30%	40%	50%	60%	70%
KNN	0.749	0.800	0.828	0.845	0.863	0.871	0.868	0.876
DT	0.579	0.579	0.610	0.604	0.619	0.601	0.625	0.604
SVM	0.793	0.847	0.878	0.897	0.917	0.913	0.929	0.932
NB	0.495	0.550	0.556	0.608	0.643	0.637	0.655	0.601
Voting	0.598	0.670	0.704	0.731	0.779	0.745	0.761	0.794
Bagging (KNN)	0.741	0.792	0.825	0.839	0.861	0.865	0.861	0.877
Bagging (DT)	0.618	0.637	0.641	0.624	0.652	0.651	0.647	0.638
Bagging (SVM)	0.795	0.849	0.879	0.898	0.918	0.917	0.929	0.934
Bagging (NB)	0.706	0.753	0.768	0.787	0.821	0.813	0.817	0.824