Practice Generate Predictions - 6.5 | Module 3: Supervised Learning - Classification Fundamentals (Weeks 5) | Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a classification task?

πŸ’‘ Hint: Think of sorting data into groups.

Question 2

Easy

Provide an example of binary classification.

πŸ’‘ Hint: Remember, it's either one or the other.

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 involves only two classes?

  • Multi-class Classification
  • Binary Classification
  • Unsupervised Learning

πŸ’‘ Hint: Consider the simplest form of sorting.

Question 2

True or False: The F1-Score combines Precision and Recall into a single metric.

  • True
  • False

πŸ’‘ Hint: Think of balancing two important metrics.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an experiment to evaluate the performance of Logistic Regression vs KNN on a dataset. Include how you would handle evaluation metrics.

πŸ’‘ Hint: Think about the importance of handling data unevenness in classes.

Question 2

Discuss how feature selection can mitigate the curse of dimensionality in KNN. Provide a strategy to apply this in a practical scenario.

πŸ’‘ Hint: Consider which features provide the most information.

Challenge and get performance evaluation