Table 4.
Accuracy of classifiers on WBCD.
| Features | Accuracy | ||
|---|---|---|---|
| 5 | 3 | 2 | |
| Techniques | |||
| SVM | 97.14% | 97.8% | 95.7% |
| Naïve Bayes | 96.42% | 97.14% | 97.14% |
| Random Forest | 97.14% | 97.14% | 93.57% |
| KNN | 95.71% | 95.71% | 97.8% |
| MLP | 95.28%, | 96.85% | 94.28%. |
| FLANN | 97.14% | 96.88% | 96.76% |
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