Package
weka.filters.supervised.instance
Synopsis
This filter takes a dataset and outputs a specified fold for cross validation. If you do not want the folds to be stratified use the unsupervised version.
Options
The table below describes the options available for StratifiedRemoveFolds.
Option | Description |
---|---|
fold | The fold which is selected. |
invertSelection | Whether to invert the selection. |
numFolds | The number of folds to split the dataset into. |
seed | the random number seed for shuffling the dataset. If seed is negative, shuffling will not be performed. |
Capabilities
The table below describes the capabilites of StratifiedRemoveFolds.
Capability | Supported |
---|---|
Class | Numeric class, Empty nominal class, Nominal class, Date class, Relational class, Binary class, String class, Unary class, Missing class values |
Attributes | Binary attributes, Missing values, Nominal attributes, Numeric attributes, Unary attributes, String attributes, Empty nominal attributes, Relational attributes, Date attributes |
Min # of instances | 0 |