All Subgroup Discovery tasks
Subgroup Discovery
Subgroup discovery is a data mining technique which extracts interesting rules with respect to a target variable. An important characteristic of this task is the combination of predictive and descriptive induction. An overview related to the task of subgroup discovery is presented. (description by: Herrera et. al., An overview on subgroup discovery: foundations
and applications)
Inputs
| quality_measure |
String |
The evaluation measures to optimize for, e.g., cpu time, accuracy |
required |
| 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 |
| target_value |
String |
The value of the target feature to be used as the SD target value. |
required |
Outputs
Attribution
| Author(s) | "Jan N. van Rijn", "Arno Knobbe", "Joaquin Vanschoren" |
| Contributor(s) | |