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Which evaluation metric is commonly used to assess the performance of a deployed

Practice Questions

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

Questions & Step-by-Step Solutions

Which evaluation metric is commonly used to assess the performance of a deployed classification model?
  • Step 1: Understand what a classification model is. It is a type of model that predicts categories or classes for given data.
  • Step 2: Learn about evaluation metrics. These are tools used to measure how well a model is performing.
  • Step 3: Identify the most common evaluation metric for classification models, which is accuracy.
  • Step 4: Understand what accuracy means. It is the percentage of correct predictions made by the model compared to the total predictions.
  • Step 5: Calculate accuracy by using the formula: (Number of Correct Predictions) / (Total Number of Predictions) * 100.
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