Package
weka.classifiers.functions
Synopsis
Learns an isotonic regression model. Picks the attribute that results in the lowest squared error. Missing values are not allowed. Can only deal with numeric attributes.Considers the monotonically increasing case as well as the monotonicallydecreasing case
Options
The table below describes the options available for IsotonicRegression.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
Capabilities
The table below describes the capabilites of IsotonicRegression.
Capability |
Supported |
|---|---|
Class |
Missing class values, Date class, Numeric class |
Attributes |
Numeric attributes, Date attributes |
Min # of instances |
1 |