Win10-64版本，python3.7
1.下载安装xgboost在该网站下载https://www.lfd.uci.edu/~gohlke/pythonlibs/#xgboost
2.在进入cmd模式pip install xgboost-0.90-cp37-cp37m-win_amd64.whl
报错了...把whl文件放到指定位置再安装就OK了！
3.运行实例 #引入xgboost等包from numpy import loadtxtfrom xgboost import XGBClassifierfrom sklearn.model_selection importtrain_test_splitfrom sklearn.metrics importaccuracy_score#分出变量和标签dataset=loadtxt('pima-indians-diabetes.data.csv',delimiter=",")X=dataset[:,0:8]y=dataset[:,8]#把数据分为训练集和测试集X_train, X_test, y_train, y_test=train_test_split(X,y,test_size=0.33,random_state=7)# 训练模型model=XGBClassifier()model.fit(X_train,y_train)# 做预测# xgboost的结果属于第一类的概率，需要用round将其转换为0 1值y_pred=model.predict(X_test)predictions=[round(value) for value in y_pred]# 显示准确率accuracy=accuracy_score(y_test,predictions)print('Accuracy:%.2f%%'%(accuracy*100.0)) Accuracy:77.95%注意：.py的文件名不要命名为xgboost.py
否则会报错：cannot import name 'XGBClassifier' from 'xgboost'