Figure 3

Trends of Prediction Performance over Multimode Dataset and Random Datasets Generated over Permutation Test during Iterative Feature Selection Methods. Comparison between the trend of the prediction performance of the multimode dataset (in blue square) and that of the averaged prediction performance of the datasets with random label permutations (in red square) to the number of remaining features during iterative feature selection methods (A) SVMRFE, (B) SVMRFE_NL, and (C) SVMRW. The x-axis is the number of remaining features, and the y-axis is prediction performance (measured by the LOOCV average accuracy).