Regression in machine learning isn’t simply drawing a line through dots. It can be used to predict outcomes for more complex problems and multiple dimensions. Compared to Classification, one can image that regressions leads to real numbers, and Classification to classes.
Typical problems
- Predicting the price of a house based on features like size, number of bedrooms, location, etc.
- Predicting future weather conditions like temperature, humidity, and precipitation based on historical weather data.
- Predicting future energy usage for a region or facility based on historical consumption data, weather patterns, and other factors.