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                        /人工智能数学基础与Python实战

/Users/watermelon/workspace/python-demo/venv/lib/python3.8/site-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but CategoricalNB was fitted with feature names warnings.warn(

解决办法:

构建样本数据预测时更换成这种形式

X_test = pd.DataFrame([[0, 0, 0, 1, 1, 0]], columns=["gender","age","status","city","cost","device"])

y_test_proba = model.predict_proba(X_test)

print(y_test_proba)

qq_watermelon_14327755

2024-01-12

源自：人工智能数学基础与Python实战 4-4

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qq_watermelon_14327755 提问者
2024-01-12

Python3.8+用户才需要

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/Users/watermelon/workspace/python-demo/venv/lib/python3.8/site-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but CategoricalNB was fitted with feature names warnings.warn(

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/Users/watermelon/workspace/python-demo/venv/lib/python3.8/site-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but CategoricalNB was fitted with feature names warnings.warn(