Beginner
Artificial Intelligence & Machine Learning
Q6 / 100
What is the purpose of a training, validation, and test set?
Correct! Well done.
Incorrect.
The correct answer is B) Training: fit model parameters. Validation: tune hyperparameters and detect overfitting. Test: final unbiased performance evaluation (never touched during development)
B
Correct Answer
Training: fit model parameters. Validation: tune hyperparameters and detect overfitting. Test: final unbiased performance evaluation (never touched during development)
Explanation
The test set must not be used during development to get an unbiased estimate. Using test data to make decisions contaminates it, creating optimistic biased estimates.
Progress
6/100