Model | Accuracy | Avg. Precision | Avg. Recall | Avg. F-Measure | Avg. AUC |
---|---|---|---|---|---|
Naive Bayes | 61.11% | 56.40% | 53.30% | 51.58% | 75.6% |
Naive Bayes (optimal binning) | 68.33% | 60.86% | 60.35% | 60.26% | 68.9% |
Naive Bayes (SMOTE) | 66.67% | 72.96% | 66.67% | 64.58% | 81.4% |
Naive Bayes (optimal binning + SMOTE) | 75.28% | 75.30% | 75.58% | 75.13% | 71.8% |
Decision tree | 56.11% | 56.90% | 45.73% | 43.44% | 40.1% |
Decision tree (optimal binning) | 60.56% | 50.56% | 48.96% | 49.54% | 47.9% |
Decision tree (SMOTE) | 70.83% | 72.48% | 70.87% | 70.61% | 64.8% |
Decision tree (optimal binning + SMOTE) | 70.56% | 70.91% | 71.00% | 70.03% | 68.4% |
Neural net | 65.56% | 70.21% | 60.41% | 62.65% | 72.3% |
Neural net (optimal binning) | 68.89% | 66.62% | 69.89% | 67.69% | 73.1% |
Neural net (SMOTE) | 73.61% | 73.54% | 73.38% | 73.59% | 81.3% |
Neural net (Optimal Binning + SMOTE) | 75.28% | 75.63% | 75.42% | 75.48% | 71.6% |