Heatmap from Scientific Research

Importance of average class-wise correlations for the prediction of each class for the datasets by Xin et al. ( G ) and Petralia et al. ( H ). Variable importance was measured by the decrease in class-wise F1-score of an unoptimized support-vector-classifier (C = 100, kernel = rbf, balanced class weights) when removing the considered correlation

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