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What type of supervised learning problem is predicting house prices?

Practice Questions

Q1
What type of supervised learning problem is predicting house prices?
  1. Classification
  2. Regression
  3. Clustering
  4. Dimensionality Reduction

Questions & Step-by-Step Solutions

What type of supervised learning problem is predicting house prices?
  • Step 1: Understand that supervised learning involves training a model on labeled data.
  • Step 2: Identify that predicting house prices means we want to estimate a specific value (the price).
  • Step 3: Recognize that house prices can be any number (like $200,000 or $350,000), which are continuous values.
  • Step 4: Differentiate between types of supervised learning problems: classification (categorical outcomes) and regression (continuous outcomes).
  • Step 5: Conclude that since house prices are continuous numerical values, predicting them is a regression problem.
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