Table 5:
Type | Train |
Test |
||||||
---|---|---|---|---|---|---|---|---|
Accuracy | Accuracy | Precision | Specificity | Sensitivity | F1 Score | ROC AUC | C.Matrix | |
Logistic Regression | 0.81 | 0.82 | 0 | 1 | 0 | 0 | 0.5 | [1, 0, 1, 0] |
Support Vector Machine | 0.99 | 0.9 | 0.83 | 0.97 | 0.62 | 0.71 | 0.8 | [0.97, 0.03, 0.375, 0.625] |
Random Forest | 0.98 | 0.93 | 0.86 | 0.97 | 0.75 | 0.8 | 0.97 | [0.97, 0.03, 0.25, 0.75] |