Practice Logistic Regression - 2.1 | Classification Algorithms | Data Science Basic
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Logistic Regression

2.1 - Logistic Regression

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does logistic regression predict?

💡 Hint: Think about examples like spam emails.

Question 2 Easy

Is logistic regression used for classification tasks?

💡 Hint: Consider the term 'classification'.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of classification is logistic regression used for?

Multi-class
Binary
None of the above

💡 Hint: Think about two possible outcomes.

Question 2

True or False: Logistic regression can predict more than two categories.

True
False

💡 Hint: Consider the definition of binary classification.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a dataset with 1000 samples where 900 are negative and 100 are positive. If a model predicts all samples as negative, what would be the accuracy, and why is this misleading?

💡 Hint: Think about what accuracy measures in terms of true positives and negatives.

Challenge 2 Hard

Discuss how the choice of threshold in logistic regression affects the model's precision and recall.

💡 Hint: Consider what happens when you shift the cutoff point for predictions.

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