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Test your understanding with targeted questions related to the topic.
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.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is overfitting?
💡 Hint: Consider how the model performs on new data.
Question 2
Is underfitting a result of a model being too complex?
💡 Hint: Think about what happens if a model lacks complexity.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation