Model | AUC | CA | F1 | Precision | Recall |
---|---|---|---|---|---|
Logistic regression | 0.914 | 0.857 | 0.856 | 0.859 | 0.857 |
Neural network | 0.913 | 0.846 | 0.845 | 0.845 | 0.846 |
Naïve Bayes | 0.909 | 0.857 | 0.855 | 0.860 | 0.857 |
Random forest | 0.907 | 0.847 | 0.846 | 0.849 | 0.847 |
Gradient boosting | 0.899 | 0.844 | 0.843 | 0.844 | 0.844 |
SVM | 0.880 | 0.849 | 0.843 | 0.844 | 0.844 |
CN2 rule inducer | 0.843 | 0.774 | 0.774 | 0.775 | 0.774 |
SGD | 0.836 | 0.849 | 0.847 | 0.853 | 0.849 |
Tree | 0.774 | 0.786 | 0.787 | 0.789 | 0.786 |
kNN | 0.593 | 0.589 | 0.583 | 0.582 | 0.589 |