Table 10.

Sentiment Kappa differences on polynomial dataset

Algorithm	Variation between train–test split percentages
	10–20%	20–30%	30–40%	40–50%	50–60%	60–70%
KNN	+ 0.065	+ 0.048	+ 0.032	+ 0.022	+ 0.009	+ 0.022
DT	+ 0.022	− 0.001	− 0.005	+ 0.019	− 0.007	+ 0.013
SVM	+ 0.055	+ 0.053	+ 0.035	+ 0.035	+ 0.008	+ 0.022
NB	+ 0.051	+ 0.017	+ 0.020	+ 0.034	− 0.007	+ 0.015
Voting	+ 0.068	+ 0.043	+ 0.039	+ 0.030	− 0.002	+ 0.023
Bagging (KNN)	+ 0.070	+ 0.063	+ 0.041	+ 0.028	+ 0.007	+ 0.020
Bagging (DT)	+ 0.015	-0.013	+ 0.020	+ 0.004	-0.007	+ 0.017
Bagging (SVM)	+ 0.085	+ 0.053	+ 0.033	+ 0.038	+ 0.006	+ 0.023
Bagging (NB)	+ 0.049	+ 0.020	+ 0.020	+ 0.034	− 0.008	+ 0.017