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

Practise this section

8 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
Define overfitting.
Show hintHide hint
Think of how a student might memorize answers without understanding the material.
Question 2.
What happens during underfitting?
Show hintHide hint
Consider a model that predicts all outputs as the average value.
3Question 3.
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
Show hintHide hint
Consider how the model performs on new data.
4Question 4.
Is underfitting a result of a model being too complex?
- True
- False
Show hintHide hint
Think about what happens if a model lacks complexity.
Question 5.
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?
Show hintHide hint
Compare the performance on training versus test sets.
Question 6.
Design a scenario where a model is underfitting. What signs would you look for in terms of accuracy metrics?
Show hintHide hint
Low performance across both types of data is a key sign.

4 more questions in this section. Enroll free to practise them all.