Practice Core Classification Metrics (5.3) - Supervised Learning - Classification Fundamentals (Weeks 5)
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Core Classification Metrics

Practice - Core Classification Metrics

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a confusion matrix?

💡 Hint: What does the matrix display?

Question 2 Easy

Define precision.

💡 Hint: Think about the accuracy of positive predictions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a True Positive (TP) represent in a confusion matrix?

Model predicted positive and it is positive
Model predicted negative and it is positive
Model predicted positive and it is negative

💡 Hint: Think about accurate positive predictions.

Question 2

True or False: Precision is the same as recall.

True
False

💡 Hint: Consider what each metric emphasizes.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a confusion matrix where TP = 50, TN = 40, FP = 10, FN = 5, calculate the accuracy, precision, recall, and F1-score.

💡 Hint: Calculate each metric step by step using the formulas.

Challenge 2 Hard

In a fraud detection system, if the precision is too low but the recall is high, what adjustments would you consider making to your model to improve precision without sacrificing recall?

💡 Hint: Think about how the criteria for classifying a positive case can be altered.

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Reference links

Supplementary resources to enhance your learning experience.