Table 3.
Binary classification results.
Classifier | F-Measure | Precision | Recall | AUC |
---|---|---|---|---|
Naïve Bayes | 0.83 | 0.78 | 0.90 | 0.941 |
SVM | 0.83 | 0.78 | 0.88 | 0.939 |
Random Forest | 0.81 | 0.76 | 0.86 | 0.934 |
kNN | 0.80 | 0.72 | 0.92 | 0.896 |
Decision Tree | 0.75 | 0.75 | 0.75 | 0.780 |
Classifier results for the reduced set of features (650 features) after feature selection by mutual information