There are some valuable insights from sophisticated machine learning:
- What features in the data did the model think are most important ?
- For any single prediction from a model, how did each feature in the data affect that particular prediction ?
- How does each feature affect the model’s prediction in a big-picture sense (What is its typical effect when considered over a large number of possible predictions) ?
Effect of Insights
These insights have many uses, including:
- Debugging
- Informing feature engineering
- Directing future data collection
- Informing human decision-making
- Building trust
