Explaining the predictions of kernel SVM models for neuroimaging data analysis

Mengqi Zhang, Matthias Treder, David Marshall, Yuhua Li

Abstract: Highlights•Explaining nonlinear SVM model predictions using activation pattern.•Explanation results robust to noise variables.•Significantly faster explanation than other state-of-art explanation methods.•Generating global feature importance scores.