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.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (NNge).
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 |