Feature Set | Classifiers in the Optimal Majority-voting Ensemble | Average classification accuracy (%) | P-value of paired t test with previous results | P-value of paired t test with optimal single classifier | Classification Accuracy Upper Bound* (%) |
---|---|---|---|---|---|
SLF8 (2D) | Exprbf-kernel SVM AdaBoost Bagging | 89.4 | 0.003 | 0.08 | 95.5 |
SLF15 (2D) | Rbf-kernel SVM Exponential-rbf-kernel SVM Polynomial-kernel SVM | 91.5 | 0.0006 | 0.01 | 96.1 |
SLF13 (2D DNA) | Rbf-kernel SVM AdaBoost Mixtures-of-Experts | 90.7 | 0.003 | 0.03 | 95.6 |
SLF16 (2D DNA) | Neural Network Linear-kernel SVM Exprbf-kernel SVM Polynomial-kernel SVM AdaBoost | 92.3 | 0.003 | 0.02 | 96.6 |
SLF14 (3D) | Neural Network Linear-kernel SVM Exprbf-kernel SVM Polynomial-kernel SVM AdaBoost | 89.8 | 0.02 | 0.29 | 96.3 |
SLF10 (3D DNA) | Linear-kernel SVM Rbf-kernel SVM Exprbf-kernel SVM Mixtures-of-Experts | 95.8 | 0.02 | 0.35 | 98.2 |