1. Imputation
2. Overfitting
3. Regularization
4. Cross-validation
5. Inconsistent
A method to prevent overfitting in models.
The process of filling missing data.
A technique to test model performance.
Not staying the same or reliable.
When a model learns noise instead of patterns.
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