Table 5.
Results of Machine Learning Techniques on WDBC.
| Technique | Accuracy when the number of features are | ||
|---|---|---|---|
| 6 | 11 | 30 | |
| SVM | 98.24% | 97.36% | 98.24% |
| KNN | 95.61% | 96.49% | 96.49% |
| Random forest | 96.49% | 92.98% | 97.14% |
| Naive Bayes | 97.36% | 96.49% | 96.49% |
| MLP | 96.49% | 96.49% | 97.28% |
| FLANN | 95.57% | 97.45% | 99.41% |