Task type
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.


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


evaluations KeyValue A list of user-defined evaluations of the task as key-value pairs. optional
predictions Predictions The desired output format optional


Author(s)Geoffrey Holmes, Bernhard Pfahringer, Jan van Rijn, Joaquin Vanschoren