Table 2.
Model | Precision | Recall | F1-score | Accuracy | Error | KS |
---|---|---|---|---|---|---|
Random forest | 0.69 | 0.90 | 0.78 | 0.75 | 0.25 | 0.70 |
Logistic regression | 0.80 | 0.80 | 0.80 | 0.80 | 0.20 | 0.60 |
Support vector classification | 0.80 | 0.80 | 0.80 | 0.80 | 0.20 | 0.60 |
Model | Precision | Recall | F1-score | Accuracy | Error | KS |
---|---|---|---|---|---|---|
Random forest | 0.69 | 0.90 | 0.78 | 0.75 | 0.25 | 0.70 |
Logistic regression | 0.80 | 0.80 | 0.80 | 0.80 | 0.20 | 0.60 |
Support vector classification | 0.80 | 0.80 | 0.80 | 0.80 | 0.20 | 0.60 |