特征工程是机器学习流程中的关键步骤，在此过程中，原始数据被转换为更具意义的特征，以增强模型对数据关系的理解能力。 特征工程通常涉及对现有数据应用转换，以生成或修改数据，这些转换后的数据在机器学习和数据科学的语境下用于训练模型，从而 ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...