| Class | Description |
|---|---|
| NonSparseToSparse |
An instance filter that converts all incoming
instances into sparse format.
|
| Randomize |
Randomly shuffles the order of instances passed
through it.
|
| RemoveDuplicates |
Removes all duplicate instances from the first batch of data it receives.
|
| RemoveFolds |
This filter takes a dataset and outputs a specified
fold for cross validation.
|
| RemoveFrequentValues |
Determines which values (frequent or infrequent
ones) of an (nominal) attribute are retained and filters the instances
accordingly.
|
| RemoveMisclassified |
A filter that removes instances which are
incorrectly classified.
|
| RemovePercentage |
A filter that removes a given percentage of a
dataset.
|
| RemoveRange |
A filter that removes a given range of instances of
a dataset.
|
| RemoveWithValues |
Filters instances according to the value of an
attribute.
|
| Resample |
Produces a random subsample of a dataset using
either sampling with replacement or without replacement.
|
| ReservoirSample |
Produces a random subsample of a dataset using the
reservoir sampling Algorithm "R" by Vitter.
|
| SparseToNonSparse |
An instance filter that converts all incoming sparse instances into non-sparse format.
|
| SubsetByExpression |
Filters instances according to a user-specified expression.
Examples: - extracting only mammals and birds from the 'zoo' UCI dataset: (CLASS is 'mammal') or (CLASS is 'bird') - extracting only animals with at least 2 legs from the 'zoo' UCI dataset: (ATT14 >= 2) - extracting only instances with non-missing 'wage-increase-second-year' from the 'labor' UCI dataset: not ismissing(ATT3) Valid options are: |