easy5 pts · first answer countsmodel-evaluation
Why keep a test set
Why do we keep a test set that is never used during training or tuning?
Discussion 0
Join free to post in the discussion.
Related questions
- Validating a forecasting modelData Scientist
- Lift of the top decileData Scientist
- Big gap between train and validation accuracyMachine Learning Engineer
- Why keep a separate test setMachine Learning Engineer
- Handling class imbalanceMachine Learning Engineer
- Probabilities that cannot be trustedMachine Learning Engineer
- Data used to tune hyperparametersMLOps Engineer
- Automatic gate before promotionMLOps Engineer