Practice Model Evaluation and Training - 6.3 | Machine Learning Basics | AI Course Fundamental
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the training set in your own words.

πŸ’‘ Hint: Think about what the model learns from.

Question 2

Easy

What is the purpose of the validation set?

πŸ’‘ Hint: Consider how it relates to the training process.

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 the main purpose of the validation set?

  • To train the model
  • To test the model
  • To fine-tune the model parameters

πŸ’‘ Hint: Consider its role after training.

Question 2

True or False: The test set is used during the training process.

  • True
  • False

πŸ’‘ Hint: Think about when we evaluate performance.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a small machine learning project. Define your dataset, how you would split it into training, validation, and test sets, and explain why you made these choices.

πŸ’‘ Hint: Consider how each part of the dataset contributes to the model's learning.

Question 2

Given a model with an accuracy of 90% but a low precision of 40%, analyze what this implies about the model and suggest improvement strategies.

πŸ’‘ Hint: Think about what aspects can lead to a high accuracy but poor precision.

Challenge and get performance evaluation