How to Choose Good Machine Learning Features
Choosing features is one of the most practical skills in machine learning. The model can only learn from the signals you give it, so weak or misleading features can hurt even a strong algorithm. Use this guide as a checklist when reviewing raw data before building a model. Quick Answer Choose machine learning features by checking whether each candidate feature is related to the target, available at prediction time, ethical to use, represented correctly, and supported by enough examples. ...