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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary goal of a classification algorithm?
💡 Hint: Think about what classification tries to achieve.
Question 2
Easy
What does logistic regression predict?
💡 Hint: What type of output do we get from logistic regression?
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 logistic regression primarily used for?
- Regression analysis
- Classification
- Clustering
💡 Hint: Think about whether we are dealing with categories.
Question 2
True or False: KNN builds a model during the training phase.
- True
- False
💡 Hint: Consider what KNN does with its data in training.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a class-imbalanced dataset with 95% negatives and 5% positives. Discuss how you would evaluate a logistic regression model trained on this data.
💡 Hint: What might you do if accuracy doesn't reflect true performance?
Question 2
Given a dataset with features that can lead to high dimensionality, propose a method to reduce dimensionality before applying KNN.
💡 Hint: Consider methods that help retain the most significant features.
Challenge and get performance evaluation