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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does Log Loss measure in a classification model?
💡 Hint: Consider the aspect of prediction confidence.
Question 2
Easy
Why can't we use Mean Squared Error in Logistic Regression?
💡 Hint: Think about how it affects local minima.
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 primary function of Log Loss in a classification model?
- To minimize prediction errors
- To measure confidence in predictions
- To evaluate model bias
💡 Hint: Consider how it affects classification.
Question 2
True or False: Using Mean Squared Error as a cost function for Logistic Regression is advisable.
- True
- False
💡 Hint: Think about the optimization process.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a model predicts probabilities for 100 instances, with actual outcomes of 60 ones and 40 zeros, calculate the total Log Loss if each of the true labels matches perfectly with predicted probabilities.
💡 Hint: Consider how Log Loss functions for perfect predictions.
Question 2
Discuss how you would approach optimizing a logistic model's parameters if the Log Loss displays high values. What steps would you take?
💡 Hint: Think about what factors could affect predictive accuracy.
Challenge and get performance evaluation