and potentially store it in an ARFF file.
The mlr
package is used to generate the splits, see
makeResampleDesc
and makeResampleInstance
.
createCVSplits(asscenario, reps = 1L, folds = 10L, file = NULL)
ASScenario
]
Algorithm selection scenario.integer
]
CV repetitions.
Default is 1.integer
]
CV folds.
Default is 10.character
]
If not missing, where to save the returned splits as an ARFF file via write.arff
.
Default is no saving.data.frame
]. Splits as defined in the algorithm benchmark repository
specification text.
Has columns: instance_id, fold, rep.
Defines which instances go into the test set for each replication / fold during CV.
The training set are the remaining instances, in exactly the order as given by the data.frame
for the current repetition.