Evaluation criteria’s | Naïve Bayes | Decision tree (J48) | Decision tree (random tree) | Decision tree (forest) | Neural networks | Class | |||||
Confusion matrix | 10,576 | 1795 | 11,676 | 695 | 11,586 | 785 | 11,586 | 785 | 11,097 | 1274 | No |
| 1365 | 1947 | 2320 | 992 | 2235 | 1077 | 2232 | 1080 | 1825 | 1487 | Yes |
Accuracy (%) | 79.85% | 80.77% | 80.74% | 80.76% | 80.24% |
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Sensitivity (%) | 58.78% | 29.95% | 32.51% | 32.60% | 44.89% |
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Specificity (%) | 85.49% | 94.38% | 93.65% | 93.65% | 89.70% |
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ROC (%) | 84.1% | 80.5% | 84.1% | 84.4% | 84.1% |
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Computations time in seconds | 0.01 | 0.02 | 0.09 | 0.7 | 61.16 |
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