From: Fuzzy support vector machine: an efficient rule-based classification technique for microarrays
 | Leukemia | Prostate Cancer | Colon Cancer |
---|---|---|---|
Fuzzy Support Vector Machine (FSVM) | 98.57 % | 95.18 % | 93.75% |
Support Vector Machine (SVM) | 97.27 % | 93.63 % | 90.03% |
Artificial Neural Network (ANN) | 94.54 % | 94.27 % | 87.10% |
Decision Tree (CART) | 91.81 % | 89.09 % | 83.87% |
K Nearest Neighbor (KNN, K = 3) | 96.36 % | 95.18 % | 87.10% |
Diagonal Linear Discriminant Analysis (DLDA) | 96.18 % | 94 % | 88.71% |