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Which metric is commonly used to evaluate the performance of a classification mo

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Question: Which metric is commonly used to evaluate the performance of a classification model?

Options:

  1. Mean Squared Error
  2. Accuracy
  3. R-squared
  4. Silhouette Score

Correct Answer: Accuracy

Solution:

Accuracy is a common metric used to evaluate the performance of classification models, indicating the proportion of correct predictions.

Which metric is commonly used to evaluate the performance of a classification mo

Practice Questions

Q1
Which metric is commonly used to evaluate the performance of a classification model?
  1. Mean Squared Error
  2. Accuracy
  3. R-squared
  4. Silhouette Score

Questions & Step-by-Step Solutions

Which metric is commonly used to evaluate the performance of a classification model?
  • Step 1: Understand what a classification model is. It is a type of model that predicts categories or classes.
  • Step 2: Learn about performance metrics. These are ways to measure how well the model is doing.
  • Step 3: Identify the common metrics used for classification models. One of the most common is accuracy.
  • Step 4: Define accuracy. It is the ratio of the number of correct predictions to the total number of predictions.
  • Step 5: Conclude that accuracy is a simple and widely used metric to evaluate classification models.
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