Practice Summary - 8 | Chapter 7: Supervised Learning – Logistic Regression | Machine Learning Basics
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Summary

8 - Summary

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What type of outcome does logistic regression deal with?

💡 Hint: Think about how answers can be only two alternatives.

Question 2 Easy

Define the sigmoid function.

💡 Hint: Can you remember how it looks mathematically?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the sigmoid function output?

Probability between 0 and 1
A categorical label
Linear values

💡 Hint: Remember its purpose in logistic regression.

Question 2

True or False: Logistic regression is used for multi-class classification.

True
False

💡 Hint: Think about the definition of logistics and its category handling.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a dataset with 1000 observations where 800 are positive and 200 are negative. If a logistic regression model predicts 750 negatives and 250 positives, calculate accuracy.

💡 Hint: Use the definition of accuracy based on true positives and true negatives.

Challenge 2 Hard

Given a logistic regression model output of 0.65 for a sample, if the threshold is set at 0.7, what will the classification be?

💡 Hint: Think about how classifications depend on the threshold.

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