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 |