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

Test your understanding with targeted questions related to the topic.

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'.

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 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.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation