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Supervised analysis results
(A) Feature importance of the data.
(B) Classification accuracy of logistic regression, decision tree, K-nearest-neighbor (K-NN), and multilayer perceptron (MLP) using all features and just the top feature. For more information on the morphological features see step 7 and for details on feature importance see step 16.
