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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of performing a train-test split in machine learning?
π‘ Hint: Think about the differences between seen and unseen data.
Question 2
Easy
What is the typical ratio of training to testing data?
π‘ Hint: This is a common practice in many machine learning tasks.
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 do we aim to achieve by performing an initial data split?
π‘ Hint: Consider the role of unseen data in validating your model.
Question 2
True or False: A model can generalize well if it is only trained on the entire dataset without a test set.
π‘ Hint: Think about the generalization of the trained model.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Create a report explaining how you would ensure the reliability of your modelβs performance using a test set, including specific metrics you would collect.
π‘ Hint: Think about the metrics that best represent the modelβs performance.
Question 2
Describe a modification you would propose for the conventional train-test split method to improve model evaluation reliability.
π‘ Hint: Consider how to make sure no group is left out in evaluations.
Challenge and get performance evaluation