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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define the training set in your own words.
π‘ Hint: Think about what the model learns from.
Question 2
Easy
What is the purpose of the validation set?
π‘ Hint: Consider how it relates to the training process.
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 the main purpose of the validation set?
π‘ Hint: Consider its role after training.
Question 2
True or False: The test set is used during the training process.
π‘ Hint: Think about when we evaluate performance.
Solve 2 more questions and get performance evaluation
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.
π‘ 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.
π‘ Hint: Think about what aspects can lead to a high accuracy but poor precision.
Challenge and get performance evaluation