Recall & Review
beginner
What type of values does regression predict?
Regression predicts continuous values, meaning it estimates numbers that can take any value within a range, like height or temperature.
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beginner
Why is regression used instead of classification for predicting continuous values?
Because regression models output a range of values, not fixed categories, making them suitable for tasks like predicting prices or temperatures.
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beginner
How does regression handle the output compared to classification?
Regression outputs a number on a continuous scale, while classification outputs a label from a set of categories.
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beginner
Give an example of a problem where regression is the right choice.
Predicting the price of a house based on its size and location is a regression problem because price is a continuous value.
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beginner
What does 'continuous value' mean in the context of regression?
It means the predicted value can be any number within a range, not just fixed options or categories.
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What kind of output does a regression model produce?
Which problem is best solved by regression?
Why can regression predict values like 3.5 or 7.8?
Which of these is NOT a continuous value?
What makes regression different from classification?
Explain why regression models predict continuous values instead of categories.
Describe a real-life example where regression is the best choice and why.