What is a common evaluation metric used to assess the performance of a deployed

Practice Questions

Q1
What is a common evaluation metric 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

What is a common evaluation metric 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 the model is performing.
  • Step 3: Identify accuracy as a common metric. Accuracy tells us how many predictions made by the model are correct.
  • Step 4: Calculate accuracy. It is done by dividing the number of correct predictions by the total number of predictions.
  • Step 5: Interpret the accuracy value. A higher accuracy means the model is performing better.
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