Comparison of accuracy measure for decision tree classifiers algorithms
| Number of experiment | Accuracy of ID3 algorithm (%) | Accuracy of C4.5 algorithm (%) | Accuracy of C5.0 algorithm (%) | Accuracy of C5.0 BNA algorithm (%) |
|---|---|---|---|---|
| 1 | 71.5% | 86% | 80.5% | 85% |
| 2 | 78% | 81% | 85% | 89% |
| 3 | 74% | 79.5% | 83% | 93.5% |
| 4 | 77% | 80.5% | 84% | 88.5% |
| 5 | 81% | 85% | 89% | 94% |
| 6 | 82.5% | 86.8% | 90.5% | 94.8% |
| 7 | 76.5% | 81.5% | 87.5% | 94% |
| Number of experiment | Accuracy of ID3 algorithm (%) | Accuracy of C4.5 algorithm (%) | Accuracy of C5.0 algorithm (%) | Accuracy of C5.0 BNA algorithm (%) |
|---|---|---|---|---|
| 1 | 71.5% | 86% | 80.5% | 85% |
| 2 | 78% | 81% | 85% | 89% |
| 3 | 74% | 79.5% | 83% | 93.5% |
| 4 | 77% | 80.5% | 84% | 88.5% |
| 5 | 81% | 85% | 89% | 94% |
| 6 | 82.5% | 86.8% | 90.5% | 94.8% |
| 7 | 76.5% | 81.5% | 87.5% | 94% |
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