●SelectFromModel #2. 모델 model = XGBRegressor(random_state=123, n_estimators=1000, learning_rate = 0.1, max_depth = 6, gamma= 1) #3. 훈련 model.fit(x_train, y_train, early_stopping_rounds=200, eval_set = [(x_train, y_train), (x_test, y_test)], eval_metric='rmse') #4. 평가, 예측 result = model.score(x_test, y_test) print('r2 : ', result) y_predict = model.predict(x_test) acc = r2_score(y_test, y_predict..