train_test_split で層別サンプリングを使用する

機械学習 | train_test_split の階層化パラメータ |相互検証

Using train_test_split to split dataset | Stratification for imbalanced data | Machine Learning

Sklearn Train テストの分割 STRATIFY の例

Set a "random_state" to make your code reproducible

scikit-learn と train_test_split() を使用した Python でのデータセットの分割

Train Test Split with Python Machine Learning (Scikit-Learn)

Why do we split data into train test and validation sets?

Stratification | Why to Stratify? | stratify=y option

Use of random_state in train_test_split()

機械学習でデータセットを分割する方法

train_test_split Explained

train_test_split

PYTHON SKLEARN - MODEL SELECTION : Train_test_split, Cross Validation, GridSearchCV (21/30)

What is "random_state" in train_test_split?

PYTHON : Stratified Train/Test-split in scikit-learn

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sklearn.train_test_split function in Python

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Random State , Train_Test_Split with example.