Across-subjects classification of stimulus modality from human MEG high frequency activity
Fig 5
Performance comparison of the random forest algorithm to SVM models. A Results from the linear SVM compared to the results from the random forest algorithm across cross-validation folds. Random forest performed significantly better than the linear SVM (p = 0.002, 0.004 with Bonferroni correction). B Results from a non-linear SVM with RBF kernel compared to the random forest results. The non-linear SVM yielded a higher classification accuracy than the random forest model (p = 0.047), applying a Bonferroni-correction for multiple comparisons renders this effect insignificant (pcorrected = 0.094).