Expand description
Feature extraction for ML model.
64 features carefully chosen to capture error patterns:
- Numeric features normalized to [0, 1]
- Categorical features one-hot encoded
- Text features converted to bag-of-words indicators
Structsยง
- Error
Features - Feature vector for ML model (64 features).