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What type of problem is predicting house prices based on features like size and

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Question: What type of problem is predicting house prices based on features like size and location?

Options:

  1. Classification
  2. Regression
  3. Clustering
  4. Dimensionality Reduction

Correct Answer: Regression

Solution:

Predicting house prices is a regression problem, as it involves predicting a continuous numerical value based on input features.

What type of problem is predicting house prices based on features like size and

Practice Questions

Q1
What type of problem is predicting house prices based on features like size and location?
  1. Classification
  2. Regression
  3. Clustering
  4. Dimensionality Reduction

Questions & Step-by-Step Solutions

What type of problem is predicting house prices based on features like size and location?
  • Step 1: Understand that we want to find out how much a house is worth.
  • Step 2: Identify the factors that can affect the house price, like size and location.
  • Step 3: Recognize that house prices are not just categories (like 'high' or 'low'), but actual numbers (like $300,000).
  • Step 4: Realize that predicting a number based on other information (like size and location) is called regression.
  • Step 5: Conclude that since we are predicting a continuous value (the price), this is a regression problem.
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