All Supervised Data Stream Classification tasks
Supervised Data Stream Classification
Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.
Inputs
| estimation_procedure |
Estimation Procedure |
The estimation procedure used to validate the generated models |
required |
| evaluation_measures |
String |
The evaluation measures to optimize for, e.g., cpu time, accuracy |
optional |
| source_data |
Dataset |
The input data for this task |
required |
| target_feature |
String |
The name of the dataset feature to be used as the target feature. |
required |
Outputs
| evaluations |
KeyValue |
A list of user-defined evaluations of the task as key-value pairs. |
optional |
| predictions |
Predictions |
The desired output format |
optional |
Attribution
| Author(s) | Geoffrey Holmes, Bernhard Pfahringer, Jan van Rijn, Joaquin Vanschoren |
| Contributor(s) | |