指出用户导入XGBoost分类器时的语法错误: 用户使用了from xgboost import xgbclassifier,这里的xgbclassifier应该是XGBClassifier,注意Python中的类名通常是首字母大写的驼峰命名法。因此,这里的大小写使用是错误的。 给出正确的导入XGBoost分类器的代码: 为了正确导入XGBoost的分类器,您应该使用以下代码: python from xgboost ...
importnumpyasnp fromxgboostimportXGBClassifier fromsklearn.model_selectionimportGridSearchCV np.random.seed(42) # generate some dummy data df=pd.DataFrame(data=np.random.normal(loc=0,scale=1,size=(100,3)),columns=['x1','x2','x3']) df['y']=np.where(df.mean(axis=1)>0,1,0) # fin...
from sklearn.ensemble import GradientBoostingClassifier from xgboost import XGBClassifier,XGBRegressor from catboost import CatBoostClassifier,CatBoostRegressor from sklearn.ensemble import RandomForestClassifier,RandomForestRegressor from sklearn.model_selection import train_test_split,KFold,cross_val_score from ...
'from xgboost import XGBClassifier'---> it shows cannot import name XGBClassifier.. what should i do?