juniorModel Evaluation
What is train-test split in evaluation?
Updated May 17, 2026
Short answer
It divides data into training and testing sets to evaluate generalization.
Deep explanation
Training data is used to fit the model, while test data evaluates performance on unseen samples.
Real-world example
Used in image classification to ensure model works on new images.
Common mistakes
- Leaking test data into training.
Follow-up questions
- What is a good split ratio?
- Why shuffle data?