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Oct 18th, 2019
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  1. df = pd.concat([train_pred_1, train_pred_2], axis=1)
  2. df_test = pd.concat([test_pred_1, test_pred_2], axis=1)
  3.  
  4. model = LogisticRegression(random_state=1)
  5. model.fit(df,y_train)
  6. model.score(df_test, y_test)
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