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What does accuracy measure in a classification model?

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Question: What does accuracy measure in a classification model?

Options:

  1. The proportion of true results among the total number of cases examined
  2. The ability of the model to predict positive cases only
  3. The average error of the predictions
  4. The time taken to train the model

Correct Answer: The proportion of true results among the total number of cases examined

Solution: 

Accuracy is defined as the ratio of correctly predicted instances to the total instances, indicating the overall effectiveness of the model.

What does accuracy measure in a classification model?

Practice Questions

Q1
What does accuracy measure in a classification model?
  1. The proportion of true results among the total number of cases examined
  2. The ability of the model to predict positive cases only
  3. The average error of the predictions
  4. The time taken to train the model

Questions & Step-by-Step Solutions

What does accuracy measure in a classification model?
  • Step 1: Understand that a classification model is used to predict categories or classes for given data.
  • Step 2: Know that accuracy is a way to measure how well the model is performing.
  • Step 3: Identify the total number of predictions made by the model.
  • Step 4: Count how many of those predictions were correct.
  • Step 5: Use the formula: Accuracy = (Number of Correct Predictions) / (Total Predictions).
  • Step 6: Multiply the result by 100 to get the accuracy percentage if needed.
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