ml xgboost算法sklearn mushroom 的相关内容

ML之xgboost：利用xgboost算法(sklearn+GridSearchCV)训练mushroom蘑菇数据集(22+1,6513+1611)来预测蘑菇是否毒性(二分类预测)

输出结果 设计思路 核心代码from sklearn.grid_search import GridSearchCVparam_test = { 'n_estimators': range(1, 51, 1)}clf = GridSearchCV(estimator = bst,...

ML之xgboost：利用xgboost算法(sklearn+7CrVa)训练mushroom蘑菇数据集(22+1,6513+1611)来预测蘑菇是否毒性(二分类预测)

输出结果设计思路核心代码kfold = StratifiedKFold(n_splits=10, random_state=7) ...

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ML之xgboost：利用xgboost算法(结合sklearn)训练mushroom蘑菇数据集(22+1,6513+1611)来预测蘑菇是否毒性(二分类预测)

输出结果设计思路核心代码bst =XGBClassifier(max_depth=3, learning_rate=1, n_estimators=num_round, s...

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