Fig. 10

Permutation feature importance derived from the convolutional neural network (CNN) classification model. Each bar represents the mean decrease in model accuracy when the corresponding feature is randomly permuted, averaged over 100 repetitions. Features causing higher accuracy drops are considered more influential on the model’s predictive performance.