sklearn中train_test_split裏，參數stratify含義解析
直接上代碼：python from sklearn.model_selection import train_test_split
# 將'features'和'result'數據切分紅訓練集和測試集
X_train, X_test, y_train, y_test = train_test_split(features, result, test_size = 0.2, random_state
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相關文章
- 1. train_test_split參數含義,train_data,train_target,test_size=0.4, random_state=0,stratify=y_train
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- 3. sklearn的train_test_split()各函數參數含義解釋（很是全）
- 4. sklearn的train_test_split()各函數參數含義解釋（非常全）
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