Practice Overfitting Vs Underfitting (8.6) - Evaluation - CBSE 10 AI (Artificial Intelleigence)
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Overfitting vs Underfitting

Practice - Overfitting vs Underfitting

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define overfitting.

💡 Hint: Think of how a student might memorize answers without understanding the material.

Question 2 Easy

What happens during underfitting?

💡 Hint: Consider a model that predicts all outputs as the average value.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is overfitting?

A model performs poorly on training data
A model performs well on training data but poorly on new data
A model performs well in general

💡 Hint: Consider how the model performs on new data.

Question 2

Is underfitting a result of a model being too complex?

True
False

💡 Hint: Think about what happens if a model lacks complexity.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a dataset where a model shows 90% accuracy on training data but only 70% on test data. What is this likely an indication of?

💡 Hint: Compare the performance on training versus test sets.

Challenge 2 Hard

Design a scenario where a model is underfitting. What signs would you look for in terms of accuracy metrics?

💡 Hint: Low performance across both types of data is a key sign.

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