Regression

The Regression panel allows to test, tweak and observe how different algorithms perform regression on samples living in a N-dimensional space: "the canvas".
Regression is usually performed from N-1 dimensions to a single Output dimension (usually the last dimension of the data).

The canvas will display the results of the regression in multiple layers, which can be changed using the display options. These are: For multi-dimensional data, it is not possible to display the actual learned function, therefore only the errors for the known samples is provided. To get an idea of the quality of the regression it is necessary to use the Compare button and do cross-validation analysis.

In Practice
The easiest way to perform regression is to:
  1. Draw some samples (left-click) in a curve from left to right
  2. Click on "Regress"
This should train the algorithm and draw the regression curve that has been learned.

Options and Commands
The interface for regression (the right-hand side of the Algorithm Options dialog) provides the following commands:
and the following options:
All other options are algorithm-dependent and should be described in the help menu of the algorithm itself.