KaggleでLightGBMを使ってみた - Qiita

# 正解ラベル y_train = train_df['answered_correctly'] X_train = train_df.drop(['answered_correctly', 'user_answer'], axis=1) models = [] # oof_train = []でも良いと思う． oof_train = np.zeros((len(X_train),)) # K分割交差検証．汎化性能を上げる．非復元抽出．性能評価のため． cv = KFold(n_splits=5, shuffle=True, random_state=0) categorical_features = ['user_id', 'content_type_id', 'task_container_id', 'prior_question_had_explanation'] params =