Table 13. Comparison of machine learning algorithms model with one hot encoder, BoW and without PCA dataset 2.
Performance metrics | BoW-SVM | BoW-RF | BoW-LDA | BoW-QDA |
---|---|---|---|---|
Accuracy | 0.648 | 0.47 | 0.548 | 0.337 |
Precision | 0.433 | 0.351 | 0.556 | 0.333 |
Recall | 0.648 | 0.47 | 0.548 | 0.337 |
F1-score | 0.519 | 0.363 | 0.548 | 0.181 |