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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of splitting a dataset?
💡 Hint: Consider what a model needs to learn and what it needs to be tested on.
Question 2
Easy
What are the two main subsets of a dataset after splitting?
💡 Hint: Think about what you use to train the model and what you use to check its performance.
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 test set?
- To train the model
- To evaluate model performance
- To collect data
💡 Hint: Think about what happens after training a model.
Question 2
True or False: The test set should be used for training the model.
- True
- False
💡 Hint: Consider the meaning of 'testing' in model evaluation.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset of 1,000 samples, calculate how you would split it if you wanted to use 70% for the training set and 30% for the test set, and explain your method.
💡 Hint: Remember the importance of proportion when splitting.
Question 2
Discuss how choosing a random_state value of 42 affects your training/test split and the reproducibility of your results.
💡 Hint: Think about the variability in results and how reproduction is crucial in experiments.
Challenge and get performance evaluation