Practice Common Evaluation Metrics (12.2) - Model Evaluation and Validation

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10 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the formula for accuracy?
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Consider the components of true positives and negatives.
Question 2.
Define precision in your own words.
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Think about false positives.
3Question 3.
What does accuracy measure in classification tasks?
- True positive rate
- Overall correctness
- False positive rate
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Think about all correct and incorrect predictions.
4Question 4.
Is Precision always more informative than Accuracy in imbalanced datasets?
- True
- False
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Consider the impact of negative cases.
Question 5.
You have a class imbalance where you predicted 100 positives and 70 of them are true positives, while 30 are false positives. Calculate precision. Discuss the significance.
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Think about what happens when false positives are high.
Question 6.
Given MSE = 16 and N=4 for your predictions, how would you interpret this in terms of model performance? Compare this with RMSE.
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Consider how errors impact decisions.

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