Which evaluation metric is commonly used for binary classification problems?

Practice Questions

Q1
Which evaluation metric is commonly used for binary classification problems?
  1. Mean Squared Error
  2. Accuracy
  3. Silhouette Score
  4. R-squared

Questions & Step-by-Step Solutions

Which evaluation metric is commonly used for binary classification problems?
  • Step 1: Understand what binary classification means. It involves categorizing data into two groups, like 'yes' or 'no'.
  • Step 2: Learn about evaluation metrics. These are ways to measure how well a model is performing.
  • Step 3: Identify the common evaluation metric for binary classification. One of the most common metrics is accuracy.
  • Step 4: Know what accuracy means. It measures the proportion of correct predictions made by the model compared to the total predictions.
No concepts available.
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