From: Fuzzy support vector machine: an efficient rule-based classification technique for microarrays
 | Leukemia | Prostate Cancer | Colon Cancer |
---|---|---|---|
Fuzzy Support Vector Machine (FSVM) | 90.18 % | 91.18 % | 77.42% |
Support Vector Machine (SVM) | 94.36 % | 93.55 % | 80.70% |
Artificial Neural Network (ANN) | 76.81 % | 81.09 % | 75.80% |
Decision Tree (CART) | 69.63 % | 73 % | 69.35% |
K Nearest Neighbor (KNN, K = 3) | 94.18 % | 93.27 % | 72.58% |
Diagonal Linear Discriminant Analysis (DLDA) | 95.27 % | 94.27 % | 75.80% |