Table 14. Comparison of machine learning algorithms model with one hot encoder, BoW and PCA on dataset 2.

Performance metrics	BoW-PCA-SVM	BoW-PCA-RF	BoW-PCA-LDA	BoW-PCA-QDA
Accuracy	0.619	0.652	0.504	0.344
Precision	0.622	0.681	0.671	0.446
Recall	0.619	0.652	0.504	0.344
F1-score	0.598	0.621	0.397	0.19