Practice F1 Score - 28.4.4 | 28. Introduction to Model Evaluation | CBSE Class 10th AI (Artificial Intelleigence)
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28.4.4 - F1 Score

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the F1 Score in your own words.

💡 Hint: Consider it a score to assess balance between correct positive predictions and actual positive instances.

Question 2

Easy

What does a high precision indicate?

💡 Hint: Think about the accuracy of the model's positive predictions.

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 does the F1 Score balance?

  • Precision and Recall
  • Accuracy and Precision
  • Recall and Accuracy

💡 Hint: Recall its mathematical significance.

Question 2

True or False: A higher F1 Score does not necessarily mean a better model.

  • True
  • False

💡 Hint: Consider the context of model application.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

In a study, a model predicts 80 positive instances, with 70 true positives and 10 false positives. Meanwhile, out of 100 actual positives, 60 were predicted correctly, leading to 40 false negatives. Calculate the F1 Score.

💡 Hint: Stay focused on substituting the right values into the formulas.

Question 2

Create a scenario where a model achieves high precision but low recall. Describe how the F1 Score would reflect this balance, and what implications this has.

💡 Hint: Consider how the values would play into the F1 calculations.

Challenge and get performance evaluation