A common task in supervised learning where the output variable is categorical, such as 'spam' or 'not spam', is called _______.

  • Classification
  • Regression
  • Clustering
  • Association
The correct term is "Classification." In supervised learning, the goal is to predict a categorical output variable based on input features. Common examples include classifying emails as 'spam' or 'not spam' (binary classification) or classifying objects into multiple categories (multi-class classification). Classification models aim to assign inputs to predefined categories, making it an essential task in supervised learning.
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