Table 3 Forecast results for testing group.
| Â | Accuracy | Precision | Recall | AUC |
|---|---|---|---|---|
Logistic | 0.801 | 1.000 | 0.012 | 0.771 |
DecisionTree | 0.782 | 0.439 | 0.309 | 0.773 |
forest | 0.797 | 0.480 | 0.148 | 0.795 |
GradientBoosting | 0.779 | 0.367 | 0.136 | 0.774 |
gbm | 0.797 | 0.487 | 0.235 | 0.771 |
| Â | Accuracy | Precision | Recall | AUC |
|---|---|---|---|---|
Logistic | 0.801 | 1.000 | 0.012 | 0.771 |
DecisionTree | 0.782 | 0.439 | 0.309 | 0.773 |
forest | 0.797 | 0.480 | 0.148 | 0.795 |
GradientBoosting | 0.779 | 0.367 | 0.136 | 0.774 |
gbm | 0.797 | 0.487 | 0.235 | 0.771 |