Table 8.

Results of BoW, TF-IDF and Chi Squared classification with SVM, MNB, kNN and LR with 12 granularities (Functional Requirements and Non-Functional Requirements).

	Classification with 12 Granularities
	BoW			TF-IDF			${\mathrm{CHI}}^2$
	Precision	Recall	F1-score	Precision	Recall	F1-score	Precision	Recall	F1-score
SVM	0.73	0.73	0.72	0.78	0.78	0.78	0.77	0.77	0.76
MNB	0.77	0.77	0.77	0.76	0.77	0.76	0.74	0.74	0.73
kNN	0.63	0.60	0.60	0.72	0.73	0.72	0.67	0.69	0.68
LR	0.76	0.77	0.76	0.78	0.79	0.78	0.76	0.77	0.76