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In [ ]: clf = RandomForestClassifier(random_state=0) # just a basic random forest model clf.fit(X_train, y_train) varimp = pd.DataFrame({'columns':X_train.columns,'importances':clf.feature_importances_})
clf = RandomForestClassifier(random_state=0) # just a basic random forest model clf.fit(X_train, y_train) varimp = pd.DataFrame({'columns':X_train.columns,'importances':clf.feature_importances_})