Algorithms | Unigrams | Unigrams + Bigrams | ||||||
Accuracy | F-measure (F-score) | Balanced Accuracy | MCC | Accuracy | F-measure (F-score) | Balanced Accuracy | MCC | |
Naïve Bayes with stemming | 0.776 | 0.870 | 0.825 | 0.501 | 0.784 | 0.874 | 0.863 | 0.589 |
Naïve Bayes without stemming | 0.776 | 0.870 | 0.819 | 0.490 | 0.782 | 0.872 | 0.824 | 0.512 |
Logistic Regression | 0.772 | 0.869 | 0.834 | 0.512 | 0.782 | 0.874 | 0.874 | 0.608 |
Decision Tree | 0.767 | 0.864 | 0.755 | 0.354 | 0.770 | 0.866 | 0.775 | 0.573 |
Multilayer Perceptron | 0.782 | 0.869 | 0.773 | 0.434 | 0.788 | 0.875 | 0.823 | 0.521 |
SVM Networks | 0.780 | 0.872 | 0.824 | 0.508 | 0,781 | 0.872 | 0.832 | 0.524 |
Random Forest | 0.780 | 0.865 | 0.741 | 0.401 | 0.780 | 0.865 | 0.744 | 0.401 |
XGBoost | 0.768 | 0.856 | 0.711 | 0.346 | 0.770 | 0.857 | 0.714 | 0.353 |