For your convenience mlr provides pre-defined Task()s for each type of learning problem. These are used throughout this tutorial in order to get shorter and more readable code.
| Type | Task | Description |
|---|---|---|
| classif | bc.task | Wisconsin Breast Cancer classification task. |
| gunpoint.task | Gunpoint functional data classification task. | |
| iris.task | Iris classification task. | |
| phoneme.task | Phoneme functional data multilabel classification task. | |
| pid.task | PimaIndiansDiabetes classification task. | |
| sonar.task | Sonar classification task. | |
| spam.task | Spam classification task. | |
| spatial.task | J. Muenchow’s Ecuador landslide data set | |
| cluster | agri.task | European Union Agricultural Workforces clustering task. |
| mtcars.task | Motor Trend Car Road Tests clustering task. | |
| costsens | costiris.task | Iris cost-sensitive classification task. |
| multilabel | yeast.task | Yeast multilabel classification task. |
| regr | bh.task | Boston Housing regression task. |
| fuelsubset.task | FuelSubset functional data regression task. | |
| surv | lung.task | NCCTG Lung Cancer survival task. |
| wpbc.task | Wisonsin Prognostic Breast Cancer (WPBC) survival task. |