![]() > 208 return _train_internal(params, dtrain, ~/anaconda3/envs/ect2/lib/python3.8/site-packages/xgboost/training.py in train(params, dtrain, num_boost_round, evals, obj, feval, maximize, early_stopping_rounds, evals_result, verbose_eval, xgb_model, callbacks)Ģ06 callbacks.append(callback.record_evaluation(evals_result)) XGBoostError Traceback (most recent call last) Print("\n\nCV AUC: ".format(metrics.roc_auc_score(train_df.target.values, oof))) Predictions = clf.predict(xgb.DMatrix(test_df.values)) / nfold Oof = clf.predict(xgb.DMatrix(train_df.iloc.values)) Xg_valid = xgb.DMatrix(train_df.iloc.values, Xg_train = xgb.DMatrix(train_df.iloc.values, Predictors = train_df.()įor train_index, valid_index in skf.split(train_df, train_df.target.values): Skf = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1) ![]() #skf = StratifiedKFold(n_splits=nfold, shuffle=True, random_state=2019) ![]()
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