Table 6.

Sentiment AUC differences on binomial dataset

Algorithm	Variation Between Train–Test Split Percentages
	10–20%	20–30%	30–40%	40–50%	50–60%	60–70%
KNN	+ 0.051	+ 0.028	+ 0.017	+ 0.180	+ 0.008	-0.003
DT	0.000	+ 0.031	− 0.006	+ 0.015	− 0.018	+ 0.024
SVM	+ 0.054	+ 0.031	+ 0.019	+ 0.020	− 0.004	+ 0.016
NB	+ 0.055	+ 0.006	+ 0.052	+ 0.035	− 0.006	+ 0.018
Voting	+ 0.072	+ 0.034	+ 0.027	+ 0.048	− 0.034	+ 0.016
Bagging (KNN)	+ 0.051	+ 0.033	+ 0.014	+ 0.022	+ 0.004	− 0.004
Bagging (DT)	+ 0.019	+ 0.004	− 0.017	+ 0.028	− 0.001	− 0.004
Bagging (SVM)	+ 0.054	+ 0.030	+ 0.019	+ 0.020	− 0.001	+ 0.012
Bagging (NB)	+ 0.047	+ 0.015	+ 0.019	+ 0.034	− 0.008	+ 0.004