What type of supervised learning task is used to predict categorical outcomes?

Practice Questions

Q1
What type of supervised learning task is used to predict categorical outcomes?
  1. Regression
  2. Classification
  3. Clustering
  4. Dimensionality Reduction

Questions & Step-by-Step Solutions

What type of supervised learning task is used to predict categorical outcomes?
  • Step 1: Understand what supervised learning is. It is a type of machine learning where the model is trained on labeled data.
  • Step 2: Learn about the types of outcomes in supervised learning. Outcomes can be either categorical (like 'yes' or 'no') or continuous (like a number).
  • Step 3: Identify what categorical outcomes are. These are outcomes that fall into distinct categories or classes.
  • Step 4: Recognize that when we want to predict which category an outcome belongs to, we use a specific method.
  • Step 5: This method is called classification. It helps us assign labels to new data based on the categories learned from the training data.
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