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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Instance Space.
π‘ Hint: Think about the types of data your model will learn from.
Question 2
Easy
What does Label Space represent?
π‘ Hint: Consider what your model attempts to predict or classify.
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 component represents the set of inputs for a learning problem?
- Instance Space (π)
- Label Space (π)
- Loss Function (β)
π‘ Hint: This is about where your data comes from.
Question 2
True or False: The Hypothesis Class is irrelevant in determining output during model training.
- True
- False
π‘ Hint: Think about the choices the algorithm has to make.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a learning problem where the instance space consists of various weather parameters, categorize whether this is a classification or regression problem based on the nature of your label space.
π‘ Hint: Consider what you're trying to predict.
Question 2
If a machine learning model trained on a dataset shows low training error but high test error, how might Data Distribution affect this outcome?
π‘ Hint: Think about the diversity of your training examples.
Challenge and get performance evaluation