Table 7.

Results of performance metrics-precision, recall, and F1-score for classifiers implemented on TF-IDF and BoW models

		Our dataset						Twitter dataset
		PD-TF-IDF			PD-BOW			PD-TF-IDF			PD-BOW
		Precision	Recall	F1	Precision	Recall	F1	Precision	Recall	F1	Precision	Recall	F1
Classification Algorithms	SVM	99	99	99	99	98	98	95	95	95	94	94	94
	RF	88	79	80	88	79	80	90	88	88	90	88	88
	DT	96	94	95	97	95	96	94	93	93	94	93	93
	KNN	89	83	84	78	75	75	81	81	81	75	72	72
	MLP	95	95	95	97	96	96	86	86	86	91	91	91
	NB	96	97	96	95	95	95	90	90	90	91	91	91
	LR	98	97	98	98	98	98	94	94	94	95	95	95

Note - (i) Highlighted values show that SVM classifier outperformed the rest of the classification algorithms

(ii) Precision, recall, and F1 values in %