Regression
Regression models predict a
numeric value. In Aporia, these models are represented with the regression model type.Examples of regression problems:
- What will the temperature be in Seattle tomorrow?
- For product X, how many units will sell?
- How many days until this customer stops using the application?
- What price will this house sell for?
Regression predictions are usually represented in a database with a
numeric column. For example:id | feature1 (numeric) | feature2 (boolean) | predicted_temperature (numeric) | actual_temperature (numeric) | timestamp (datetime) |
|---|---|---|---|---|---|
1 | 13.5 | True | 22.83 | 24.12 | 2017-01-01 12:00:00 |
2 | 123 | False | 26.04 | 25.99 | 2017-01-01 12:01:00 |
3 | 42 | True | 29.01 | 11.12 | 2017-01-01 12:02:00 |
Check out the data sources section for more information about how to connect from different data sources.