Practice Overfitting and Underfitting - 29.8 | 29. Model Evaluation Terminology | CBSE Class 10th AI (Artificial Intelleigence)
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29.8 - Overfitting and Underfitting

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define overfitting in your own words.

💡 Hint: Think about the model's performance on new data.

Question 2

Easy

What is underfitting?

💡 Hint: Consider what might happen if the model cannot learn from the training data.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What term describes a model that learns too much from training data, leading to poor performance on new data?

  • Overfitting
  • Underfitting
  • Generalization

💡 Hint: Think about how well the model performs on unseen data.

Question 2

True or False: Underfitting occurs when a model is too complex.

  • True
  • False

💡 Hint: Remember what happens when a model cannot learn from the data.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A company has a machine learning model that performs exceptionally well during training but fails to accurately predict new products. What might be the cause, and what steps can be taken to address this?

💡 Hint: Consider how complexities might affect the model's adaptability.

Question 2

Your team is building a predictive model that consistently underperforms. What approaches would you explore to improve its predictive accuracy?

💡 Hint: Think about model adaptability and the quality of training data.

Challenge and get performance evaluation