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Which metric would be most useful for evaluating a model in a highly imbalanced

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Question: Which metric would be most useful for evaluating a model in a highly imbalanced dataset?

Options:

  1. Accuracy
  2. F1 Score
  3. Mean Absolute Error
  4. Root Mean Squared Error

Correct Answer: F1 Score

Solution:

The F1 Score is more informative than accuracy in imbalanced datasets, as it considers both false positives and false negatives.

Which metric would be most useful for evaluating a model in a highly imbalanced

Practice Questions

Q1
Which metric would be most useful for evaluating a model in a highly imbalanced dataset?
  1. Accuracy
  2. F1 Score
  3. Mean Absolute Error
  4. Root Mean Squared Error

Questions & Step-by-Step Solutions

Which metric would be most useful for evaluating a model in a highly imbalanced dataset?
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