Table 5.

Classification accuracy of ML algorithms using BoW.

Classification accuracy in 10 iterations using BoW
Machine learning algorithm	1	2	3	4	5	6	7	8	9	10	Average classification accuracy
Hybrid	0.72	0.72	0.73	0.77	0.84	0.81	0.86	0.74	0.75	0.84	0.778
Ensemble	0.68	0.71	0.60	0.72	0.70	0.72	0.72	0.71	0.67	0.59	0.682
LR	0.72	0.78	0.68	0.78	0.75	0.76	0.77	0.80	0.69	0.68	0.741
SVM	0.63	0.66	0.57	0.63	0.61	0.70	0.54	0.64	0.57	0.53	0.608
MNB	0.72	0.73	0.68	0.75	0.70	0.77	0.77	0.78	0.71	0.66	0.727
KNN	0.55	0.56	0.49	0.56	0.63	0.54	0.67	0.52	0.51	0.48	0.551
RF	0.64	0.69	0.67	0.71	0.67	0.75	0.70	0.71	0.65	0.55	0.674