Table 10. Comparison of machine learning algorithms model with one hot encoder, BoW and PCA.

Performance metrics	BoW-PCA-SVM	BoW-PCA-RF	BoW-PCA-LDA	BoW-PCA-QDA
Accuracy	0.926	0.944	0.926	0.815
Precision	0.929	0.953	0.926	0.866
Recall	0.926	0.944	0.926	0.815
F1-score	0.926	0.944	0.926	0.820