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Evaluation based on ‘Test on Train Data’.
| Model | AUC (%) | CA (%) | F1 (%) | Precision (%) | Recall (%) | Log Loss (%) |
|---|---|---|---|---|---|---|
| Random Forest | 100.0 | 99.5 | 99.5 | 99.5 | 99.5 | 0.0 |
| Neural Network | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 0.0 |
| K-Near Neighbours | 98.7 | 98.2 | 98.0 | 98.0 | 98.2 | 0.1 |
| CN2 Induction | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 0.0 |
Legend: Area Under the Curve (AUC), Classification Accuracy (CA), F1 = weighted average.
