pandas dataframe to json lines – Google 検索 pandas dataframe to json – Google 検索 pd dataframe サンプル – Google 検索 pd dataframe sample data – Google 検索 pandas to_csv format – Google 検索 scikit-learn logisticregression class_weight – Google 検索 logisticRegressionCV score – Google 検索 pd concat merge – Google 検索 ndarray to pandas series – Google 検索 LogisticRegressionCV LogisticRegression – Google 検索 LogisticRegressionCV – Google 検索 obtain cross validated model from scikit-learn – Google 検索 obtain cross validated model scikit-learn – Google 検索 use cross validated model scikit-learn – Google 検索 predict with cross validation – Google 検索 logisticregression multi_class – Google 検索 predict_proba – Google 検索 cross_val_score – Google 検索 cross validation scikit learn – Google 検索 cross validation – Google 検索 pandas unique – Google 検索 df copy – Google 検索 pandas loc 破壊的 – Google 検索 pandas dataframe query replace – Google 検索 pandas dataframe filter overwrite – Google 検索 Target is multiclass but average=’binary’. Please choose another average setting. – Google 検索 confusion_matrix ravel too many values to unpack (expected 4) – Google 検索 confusion_matrix too many values to unpack (expected 4) – Google 検索 confusion matrix too many values to unpack (expected 4) – Google 検索 confusion_matrix(y_true, y_pred).ravel() – Google 検索 scipy sparse ndarray – Google 検索 logicregression predict sparse matrix – Google 検索 logicregression predict sparse matrix – Google 検索 sparse matrix ‘list’ object has no attribute ‘shape’ – Google 検索 csr_matrix ‘list’ object has no attribute ‘shape’ – Google 検索 scipy.sparse.csr.csr_matrix ‘list’ object has no attribute ‘shape’ – Google 検索 scipy.sparse.csr.csr_matrix ‘list’ object has no attribute ‘shape’ – Google 検索 scipy.sparse.csr.csr_matrix – Google 検索 scikit-learn train_test_split – Google 検索 scipy.sparse.csr.csr_matrix logisticregression fit predict – Google 検索 scipy.sparse.csr.csr_matrix fit predict – Google 検索 scipy.sparse.csr.csr_matrix – Google 検索