Table 6.

Classification accuracy of ML algorithms using Term Frequency-Inverse Document Frequency (TF-IDF).

Classification accuracy in 10 iterations using TF-IDF
Machine learning algorithm	1	2	3	4	5	6	7	8	9	10	Average classification accuracy
Hybrid	0.82	0.85	0.82	0.89	0.88	0.85	0.87	0.86	0.85	0.88	0.857
Ensemble	0.62	0.64	0.56	0.64	0.62	0.67	0.67	0.62	0.54	0.49	0.607
LR	0.62	0.67	0.57	0.66	0.64	0.70	0.71	0.66	0.59	0.58	0.640
SVM	0.65	0.66	0.59	0.67	0.64	0.70	0.69	0.66	0.58	0.53	0.637
MNB	0.51	0.54	0.48	0.55	0.57	0.55	0.58	0.51	0.48	0.45	0.522
KNN	0.67	0.75	0.64	0.72	0.69	0.68	0.77	0.69	0.67	0.58	0.686
RF	0.67	0.74	0.61	0.72	0.69	0.72	0.71	0.65	0.64	0.58	0.673