What type of supervised learning problem is predicting house prices?

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Question: What type of supervised learning problem is predicting house prices?

Options:

Correct Answer: Regression

Solution:

Predicting house prices is a regression problem because it involves predicting a continuous numerical value.

What type of supervised learning problem is predicting house prices?

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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