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优化Adversarial Validation的案例.
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enjoysport2022 committed Mar 18, 2022
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第6步,所有第5步中被删除的特征,就是最终获得的训练集和测试集分布不一致的特征,不推荐在后续过程中使用。
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### 使用案例
- [elo_AdversarialValidation_AutoX](https://www.kaggle.com/code/poteman/elo-adversarialvalidation-autox)
- [Titanic_AdversarialValidation_AutoX](https://www.kaggle.com/code/poteman/titanic-adversarialvalidation-autox)

# GRN Feature Selection
### 说明
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