Synopsis
Linear regression.
Description
This operator calculates a linear regression model. It uses the Akaike criterion for model selection.
Input
- training set: expects: ExampleSet
Output
- model:
- exampleSet:
- weights:
Parameters
- feature selection: The feature selection method used during regression.
- eliminate colinear features: Indicates if the algorithm should try to delete colinear features during the regression.
- use bias: Indicates if an intercept value should be calculated.
- min standardized coefficient: The minimum standardized coefficient for the removal of colinear feature elimination.
- ridge: The ridge parameter used during ridge regression.