Regression Functions

Name Regression Functions

Description
A regression function is a function of the form
y = f( x_i, a_I, b) ,
where a prediction of an attribute y depends on the attribute values x_I and a set of parameters a_i.

The most wide spread variant is linear regression, where the function takes the form
y = ∑_i a_i x_i + b
For a specific model the parameters a_i and b are estimated by the learning algorithm, e.g. such, that the empirical error of a test set is minimized.

Methods Logistic Regression