MultiScheme
Package
weka.classifiers.meta
Synopsis
Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data. Performance is measured based on percent correct (classification) or mean-squared error (regression).
Options
The table below describes the options available for MultiScheme.
Option |
Description |
|---|---|
classifiers |
The classifiers to be chosen from. |
debug |
Whether debug information is output to console. |
numFolds |
The number of folds used for cross-validation (if 0, performance on training data will be used). |
seed |
The seed used for randomizing the data for cross-validation. |
Capabilities
The table below describes the capabilites of MultiScheme.
Capability |
Supported |
|---|---|
Class |
Missing class values, Date class, Nominal class, Binary class, Numeric class |
Attributes |
Binary attributes, Missing values, Nominal attributes, Numeric attributes, Unary attributes, String attributes, Empty nominal attributes, Relational attributes, Date attributes |
Min # of instances |
0 |