Fig. 4: Importance and correlation of 10 selected features and confusion matrix between the actual label and predicted label using Random Forest Classifier and Extra Trees Classifier.
From: Accelerated discovery of supertetragonal perovskites with giant polarization via machine learning
a The heat map of the Pearson correlation coefficient matrix among the 10 selected features and target c/a values. b The 10 selected features are ranked according to their Pearson correlations with the target c/a values. c Training model for a random forest classifier. d Test model for random forest classifier. e Training model for Extra Trees classifier and f Test model for Extra Trees classifier.
