Debugging machine-learningThe document provides hints for debugging machine learning systems. It discusses 9 common failure modes and suggestions for addressing each: 1. Check your code - write tests, follow good coding practices. 2. Check your data - audit for quality issues like outliers and missing values. 3. Examine your features - try transformations, combinations, decorrelation, and understand important features. 4.
