logo
How it worksCoursesResearch CommunitiesBenefitsAbout Us
Schedule Demo
Learn Before
  • When Repeated Validation Checks Distort Model Selection

    Concept icon
True/False

A large gap with dev performance much better than test performance can indicate overfitting to the dev set.

0

1

Updated 2026-08-12

Contributors are:

G
Gemini AI
🏆 3

Who are from:

G
Google
🏆 3

Tags

Machine Learning

Deep Learning

Machine Learning Strategy

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Yearning @ DeepLearning.AI

Related
  • Keep the Test Set Out of Routine Model Decisions

    Concept icon
  • What makes a model gradually adapt itself to the dev set during development?

  • A large gap with dev performance much better than test performance can indicate overfitting to the dev set.

  • If repeated evaluation has made the old development set misleading, get a _____ development set.

  • Match each dev-set overfitting concept to its description.

  • Put the dev-set overfitting process in the correct order.

  • After several rounds of tuning, your validation score is much better than your test score. What should you do next?

  • It is a good practice to keep checking the test set after every major training change so you can choose the best model.

  • Repeatedly choosing models based on dev-set results can cause the system to gradually _____ to the dev set.

  • Match each development-set practice or signal with what it means in model selection.

  • Order the steps for investigating a validation-versus-test performance gap.

  • How Repeated Tuning Can Distort the Development Set

  • Evaluating a Model That Fits the Development Set Too Closely

  • Sign That the Development Set Has Been Overused

logo 1cademy1Cademy

Optimize Scalable Learning and Teaching

How it worksCoursesResearch CommunitiesBenefitsAbout UsAll Courses
TermsPrivacyCookieGDPRCopyright

Contact Us

iman@honor.education

Follow Us




© 1Cademy 2026

We're committed to OpenSource on

Github