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Methods and systems for feature selection in machine learning based on feature contribution and model fitness

机译:基于特征贡献和模型适应度的机器学习特征选择方法和系统

摘要

Methods and systems are provided for feature selection in machine learning, in which the features selected for inclusion in a prediction rule are selected based on statistical metric(s) of feature contribution and/or model fitness.
机译:提供了用于机器学习中的特征选择的方法和系统,其中基于特征贡献和/或模型适合度的统计度量来选择要包括在预测规则中的特征。

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