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Model Evaluation — Practice Quiz

ICSE · Class 12 · Artificial Intelligence

Try a 4-question quiz on Model Evaluation for ICSE Class 12 Artificial Intelligence: tap an answer to check it and see why.

70 questions35 flashcards7 formulas & key relations5 concepts

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Quick Quiz: Model Evaluation

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Tap an answer to check it instantly. No sign-up needed for these 4.

1

A confusion matrix for a loan default model is [[3, 2], [2, 3]]. What is the accuracy of the model?

2

A confusion matrix has TP = 8, TN = 12, FP = 4, and FN = 6. What is the precision of the model?

3

A confusion matrix has TP = 9, FP = 3, and FN = 6. What is the recall of the model?

4

A model has Precision = 80% and Recall = 50%. What is its F1 Score?

70 Questions·
multiple choicetrue false

Sample Questions

1multiple choice
3 marks

A model makes 75 correct predictions out of 120 total predictions. What is the accuracy?

Show answer

62.5%

Accuracy = (Number of Correct Predictions) / (Total Number of Predictions). So Accuracy = 75 / 120 = 0.625 = 62.5%.

2multiple choice
3 marks

A model has an accuracy of 82%. What is its error rate?

Show answer

18%

Error = 1 - Accuracy. If accuracy is 82%, then Error = 1 - 0.82 = 0.18 = 18%.

3multiple choice
3 marks

In a forest fire model, the model always predicts 'no fire' and the test set has 98 no-fire cases and 2 fire cases. What accuracy does the model achieve?

Show answer

98%

The model is correct on all 98 no-fire cases and wrong on both fire cases. So correct predictions = 98 and total cases = 100. Accuracy = 98/100 = 98%.

4multiple choice
3 marks

A model predicts 'fire' for every case. In 40 test cases, there are 12 actual fire cases and 28 no-fire cases. What is the precision?

Show answer

30%

If the model predicts 'fire' for every case, then TP = 12 and FP = 28. Precision = TP / (TP + FP) * 100% = 12 / (12 + 28) * 100% = 12/40 * 100% = 30%.

+66 more questions on Model Evaluation (ICSE Class 12 Artificial Intelligence)

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Frequently Asked Questions

What are the important topics in Model Evaluation for ICSE Class 12 Artificial Intelligence?
Key topics in Model Evaluation include Evaluation and Testing Data, Confusion Matrix and Classification Outcomes, Accuracy, Precision, Recall, and F1 Score, Metric Choice Based on Error Cost. Study these first, then practise questions on each for the ICSE Class 12 board exam.
How many practice questions are there for Model Evaluation?
There are 70 questions on Model Evaluation. Try the 4-question sample quiz on this page first; each answer shows an explanation when you tap it.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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