What are some examples of regression problems in machine learning?
Regression problems involve predicting a continuous output. Examples include predicting house prices, stock prices, and temperature.
Can you explain how predicting house prices works?
Sure! Predicting house prices typically uses features like location, size, and number of bedrooms to estimate the price.
What algorithms are commonly used for regression?
Common algorithms include Linear Regression, Decision Trees, and Support Vector Regression.
How do I evaluate the performance of a regression model?
You can evaluate regression models using metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared.
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