Practice Hold-Out Validation - 28.3.1 | 28. Introduction to Model Evaluation | CBSE Class 10th AI (Artificial Intelleigence)
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28.3.1 - Hold-Out Validation

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the primary purpose of Hold-Out Validation?

💡 Hint: Think about how we can ensure the model generalizes.

Question 2

Easy

What are common data split ratios used in Hold-Out Validation?

💡 Hint: Consider how much data we want to reserve for testing.

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 is Hold-Out Validation primarily used for?

  • Data preprocessing
  • Model evaluation
  • Model training

💡 Hint: It involves splitting the data into parts.

Question 2

True or False: The standard ratio for Hold-Out Validation is 90:10.

  • True
  • False

💡 Hint: Consider typical practices in data science.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset of 1000 images for a classification task and decide to use the Hold-Out Validation method. If you choose a 70:30 split, how many images will go to training and how many for testing? Discuss what could happen if the images are not randomly selected.

💡 Hint: Study the implications of data distribution in model training.

Question 2

Discuss how you might use Hold-Out Validation results to make decisions about model adjustments. Include potential strategies to avoid overfitting.

💡 Hint: Think about common pitfalls and how to improve model performance.

Challenge and get performance evaluation