sklearn.model_selection.cross_val_score() - 代码天地

sklearn.model_selection.cross_val_score()

其他 2019-03-01 00:10:19 阅读次数: 0

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转载自blog.csdn.net/qq_43283527/article/details/86154676

sklearn.model_selection.cross_val_score

sklearn.model_selection.cross_val_score()

python学习——sklearn.model_selection.cross_val_score

sklearn中的cross_val_score()函数

使用sklearn的cross_val_score进行交叉验证

sklearn joblib 交叉验证函数 cross_val_score

使用sklearn cross_val_score进行交叉验证

cross_val_score

sklearn.cross_validation与sklearn.model_selection对比

cross_val_score的使用

cross_val_score的用法

cross_val_score中的scoring参数

sklearn中的train_test_split（数据分割）、preprocessing（归一化）、cross_val_score（交叉验证）

sklearn.model_selection.KFold

sklearn.model_selection.StratifiedShuffleSplit

sklearn中的model_selection

ML之sklearn：sklearn的make_pipeline函数、RobustScaler函数、KFold函数、cross_val_score函数的代码解释、使用方法之详细攻略

cross_val_score的 scoring参数值解析

交叉验证和网格搜索 GridSearchCV / cross_val_score

理解 sklearn.model_selection.KFold

sklearn.model_selection.train_test_split

sklearn.model_selection.learning_curve

【转载】sklearn.model_selection.KFold

Sklearn调参之sklearn.model_selection.GridSearchCV

【python sklearn 机器学习】sklearn.model_selection 介绍

sklearn中sklearn.model_selection的应用与实践

Lasso model selection: Cross-Validation / AIC / BIC

anaconda 使用import sklearn.model_selection 出错ImportError: No module named model_selection

cross_val_score或GridSearchCV scoring参数中使用多个自定义值方法

Scikit-learn cross val score报错: too many indices for array

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