Package
weka.classifiers.rules
Synopsis
Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules). For more information, see
Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand.
Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.
Options
The table below describes the options available for NNge.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
numAttemptsOfGeneOption |
Sets the number of attempts for generalization. |
numFoldersMIOption |
Sets the number of folder for mutual information. |
Capabilities
The table below describes the capabilites of NNge.
Capability |
Supported |
|---|---|
Class |
Binary class, Missing class values, Nominal class |
Attributes |
Date attributes, Missing values, Numeric attributes, Nominal attributes, Unary attributes, Binary attributes, Empty nominal attributes |
Min # of instances |
0 |