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Results of different classification methods on the test set
| Leukimia Dataset | |||
|---|---|---|---|
| Method | Accurecy | Sensitivity | Specificity |
| SVM | |||
| linear | 97.14% | 100% | 92.85% |
| polynomial | 88.57% | 100% | 71.24% |
| radial | 97.14% | 100% | 92.85% |
| sigmoid | 97.14% | 100% | 92.85% |
| k-NN | |||
| K = 1 | 94.28% | 100% | 85.71% |
| K = 3 | 97.14% | 100% | 92.85% |
| K = 5 | 94.28% | 100% | 85.71% |
| K = 7 | 91.42% | 100% | 78.85% |
| K = 9 | 85.71% | 100% | 64.29% |
| K = 11 | 77.14% | 100% | 42.86% |
| Random Forest | 93.42% | 99.52% | 84.28% |
| LDA | 91.42% | 100% | 78.57% |
