Evaluation criteria’s | Naïve Bayes | Decision tree (J48) | Decision tree (random tree) | Decision tree (forest) | Neural networks | Class | |||||
Confusion matrix | 9680 | 2691 | 11,416 | 955 | 10,732 | 1639 | 11,376 | 995 | 10,964 | 1407 | No |
| 868 | 2444 | 1810 | 1502 | 1845 | 1467 | 1847 | 1465 | 1680 | 1632 | Yes |
Accuracy (%) | 77.30% | 82.36% | 77.78% | 81.87% | 80.32% |
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Sensitivity (%) | 73.79% | 45.35% | 44.29% | 44.23% | 49.27% |
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Specificity (%) | 78.25% | 92.28% | 86.75% | 91.96% | 88.63% |
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ROC (%) | 85.1% | 81.7% | 69.1% | 85.5% | 84.0% |
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Computations time in seconds | 0.00 | 0.24 | 0.07 | 3.78 | 518.2 |
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