Evaluation Metrics

Test your understanding of Performance Metrics and their use in evaluating machine learning models.

FREE QUIZ
7 Questions
~14 Minutes
Beginner
Question 1

What does the Confusion Matrix help evaluate?

Question 2

Which metric measures the proportion of correctly classified instances out of the total instances?

Question 3

What does Precision quantify?

Question 4

What is the formula for Recall?

Question 5

What does the F1-Score represent?

Question 6

In a Confusion Matrix, what does a False Positive (FP) represent?

Question 7

Why is balancing Precision and Recall important in model evaluation?

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