et_label:
            df_test = self.data.loc[[x for x in self.data.index.values if x not in self.training_index], :]
            featurenames = df_test.drop(self.target_label, axis=1, errors=&#39;ignore&#39;).columns
            labels = df_test[self.target_label].values.astype(int)

            df_test = df_test.drop(self.target_label, axis=1, errors=&#39;ignore&#39;)
            df_test = pd.concat([pd.DataFrame(columns=featurenames),
                                  df_test[featurenames[self.shap_index