Computational Intelligence-Based Model for Exploring Individual Perception on SARS-CoV-2 Vaccine in Saudi Arabia

Table 6

Performance measure of classifiers using different features’ extraction.

Model	Feature extraction and selection	Accuracy	Precision	Recall	F1-score
SVM	Bigram with TF-IDF	0.73	0.79	0.62	0.66
	Bigram without TF-IDF	0.74	0.74	0.67	0.7
	Unigram with TF-IDF	0.75	0.80	0.68	0.71
	Unigram without TF-IDF	0.73	0.74	0.67	0.7
NB	Bigram with TF-IDF	0.66	0.8	0.5	0.49
	Bigram without TF-IDF	0.72	0.66	0.68	0.67
	Unigram with TF-IDF	0.67	0.79	0.51	0.5
	Unigram without TF-IDF	0.69	0.69	0.67	0.68
LR	Bigram with TF-IDF	0.73	0.78	0.67	0.71
	Bigram without TF-IDF	0.72	0.73	0.64	0.67
	Unigram with TF-IDF	0.72	0.75	0.62	0.65
	Unigram without TF-IDF	0.76	0.72	0.69	0.72
LSTM model	Embedding techniques	0.95	0.96	0.95	0.95