1. Imputation
2. Overfitting
3. Regularization
4. Cross-validation
5. Inconsistent
Not staying the same or reliable.
The process of filling missing data.
A method to prevent overfitting in models.
When a model learns noise instead of patterns.
A technique to test model performance.
Drag the cards on the right so each lines up with the correct item on the left.
