Practice Logistic Regression (5.2) - Supervised Learning - Classification Fundamentals (Weeks 5)
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Logistic Regression

Practice - Logistic Regression

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define what Logistic Regression is.

💡 Hint: Think about discrete vs. continuous outcomes.

Question 2 Easy

What does the Sigmoid function do?

💡 Hint: Consider its range.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the Sigmoid function in Logistic Regression serve?

Maps outputs to probabilities
Calculates linear combinations
Defines cost function

💡 Hint: Consider outputs intended for classification.

Question 2

True or False: Logistic Regression can only be used for binary classification.

True
False

💡 Hint: Think about logistic extensions.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Imagine a scenario where we want to predict patients' likelihood of being diagnosed with diabetes (yes/no) based on multiple health metrics. How would you implement Logistic Regression to achieve this?

💡 Hint: Think about how you would prepare and evaluate the model!

Challenge 2 Hard

How might changing the decision boundary impact recall and precision in a disease prediction model?

💡 Hint: Reflect on which consequence might be more critical in medical contexts.

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Reference links

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