Learning method | Precision (95% CI) | Recall (95% CI) | F1-score (95%CI) | AUC (95% CI) |
---|---|---|---|---|
Logistic regression | 91.84% [91.81,91.87%] | 97.82% [97.76,97.88%] | 94.74% [94.69,94.78%] | 99.14% [99.09,99.19%] |
Naïve Bayesian | 69.48% [69.42,69.54%] | 97.35% [97.31,97.39%] | 81.09% [81.03,81.14%] | 98.44% [98.42,98.46%] |
Bayesian network | 69.66% [69.62,69.70%] | 97.55% [97.53,97.57%] | 81.28% [81.24,81.31%] | 98.41% [98.38,98.44%] |
Decision tree(C4.5) | 92.25% [92.21,92.29%] | 99.83% [99.78,99.88%] | 95.89% [95.85,95.94%] | 99.92% [99.90,99.94%] |
Neural network | 92.19% [92.14,92.24%] | 99.72% [99.68,99.76%] | 95.81% [95.76,95.85%] | 99.15% [99.11,99.19%] |
Random forest | 97.33% [97.30,97.36%] | 98.44% [98.41,98.47%] | 97.88% [97.85,97.91%] | 99.94% [99.92,99.96%] |
Bagging with C4.5 decision tree | 92.25% [92.22,92.28%] | 99.74% [99.71,99.77%] | 95.85% [95.82,95.88%] | 99.93% [99.92,99.94%] |
Voting | 94.34% [94.32,94.36%] | 99.66% [99.63,99.69%] | 96.93% [96.91,96.95%] | 99.94% [99.92,99.96%] |
Boosting with C4.5 decision tree | 95.51% [95.48,95.54%] | 99.92% [99.89,99.95%] | 97.67% [97.64,97.70%] | 99.94% [99.91,99.97%] |