Which metric is commonly used to evaluate the performance of classification mode

Practice Questions

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

Questions & Step-by-Step Solutions

Which metric is commonly used to evaluate the performance of classification models?
  • 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 accuracy as a common metric. Accuracy tells us how many predictions the model got right.
  • Step 4: Know that accuracy is calculated by dividing the number of correct predictions by the total number of predictions.
  • Step 5: Remember that a higher accuracy means the model is performing better.
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