Evaluation criteria’s | Naïve Bayes | Decision tree (J48) | Decision tree (random tree) | Decision tree (forest) | Neural networks | Class | |||||
Confusion matrix | 2176 | 1136 | 2325 | 987 | 2475 | 837 | 2405 | 907 | 2477 | 835 | No |
| 391 | 2921 | 454 | 2858 | 964 | 2348 | 477 | 2835 | 782 | 2530 | Yes |
Accuracy (%) | 76.94% | 78.24% | 72.81% | 79.10% | 75.58% |
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Sensitivity (%) | 65.70% | 70.19% | 74.72% | 72.61% | 76.38% |
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Specificity (%) | 88.19% | 86.29% | 70.89% | 85.59% | 74.78% |
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ROC (%) | 84.80% | 81.70% | 74.80% | 86.70% | 84.20% |
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Computations time in seconds | 0.0 | 0.13 | 0.07 | 0.19 | 260.59 |
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