Table 5.
Model | AUC (%) | CA (%) | F1 (%) | Precision (%) | Recall (%) | Log Loss (%) |
---|---|---|---|---|---|---|
Random Forest | 85.2 | 96.8 | 96.0 | 95.8 | 96.8 | 0.2 |
Neural Network | 95.5 | 98.6 | 98.6 | 98.6 | 98.6 | 0.1 |
K-Nearest Neighbours | 95.5 | 95.5 | 94.6 | 93.7 | 95.5 | 0.1 |
CN2 Induction | 87.8 | 94.6 | 94.6 | 94.6 | 94.6 | 0.1 |
Average | 91.0 | 96.4 | 96.0 | 95.7 | 96.4 | 0.1 |
Legend: Area Under the Curve (AUC), Classification Accuracy (CA), F1 = weighted average.