Short Answer

What Should Improve First Before Validation Results Are Expected to Move?

Question: A model has 18% training error, but the target training error is 6%. What should you improve first before expecting validation or test performance to improve?

Sample answer: You should improve the model's training-set performance first.

Key points:

  • Improve training-set performance first.
  • Do not expect validation or test results to improve much while training error remains high.

Rubric: The answer must identify training-set performance, or equivalently reducing training error, as the first metric to improve.

0

1

Updated 2026-08-12

Contributors are:

Who are from:

Tags

Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Strategy

Machine Learning Yearning @ DeepLearning.AI