Table 2 Classification matrix for prediction models used for training.
Class | Precision | Recall | F1-score | Algorithm | AUC |
|---|---|---|---|---|---|
0 | 0.81 | 0.72 | 0.77 | Logistic regression | 0.776 |
1 | 0.60 | 0.71 | 0.65 | Logistic regression | 0.776 |
0 | 0.81 | 0.74 | 0.77 | SVM | 0.783 |
1 | 0.61 | 0.70 | 0.65 | SVM | 0.783 |
0 | 0.82 | 0.73 | 0.78 | Random forest | 0.79 |
1 | 0.61 | 0.72 | 0.66 | Random forest | 0.79 |
0 | 0.78 | 0.80 | 0.79 | GBC | 0.81 |
1 | 0.64 | 0.61 | 0.62 | GBC | 0.81 |
