classification_report_to_multindex_df.py

reports = {}

for name, clf in zip(classifier_names, classifiers):
    clf.fit(X_train, Y_train)
    Y_predictions = clf.predict(X_test)
    Y_true = Y_test
    reports[name] = classification_report(Y_true, Y_predictions, output_dict=True)

reporting_df = pd.DataFrame.from_dict({(i,j): reports[i][j] 
                           for i in reports.keys() 
                           for j in reports[i].keys()},
                       orient='index')