Practice Generate Predictions (6.5) - Supervised Learning - Classification Fundamentals (Weeks 5)
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Generate Predictions

Practice - Generate Predictions

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a classification task?

💡 Hint: Think of sorting data into groups.

Question 2 Easy

Provide an example of binary classification.

💡 Hint: Remember, it's either one or the other.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of classification involves only two classes?

Multi-class Classification
Binary Classification
Unsupervised Learning

💡 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

💡 Hint: Think of balancing two important metrics.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Think about the importance of handling data unevenness in classes.

Challenge 2 Hard

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

💡 Hint: Consider which features provide the most information.

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