Improve Ensemble Classification with new Voting
|Reported by:||sforsten||Owned by:||mkommend|
|Priority:||medium||Milestone:||HeuristicLab 3.3.x Backlog|
Description (last modified by gkronber)
New voting strategies will be implemented to improve the classification ensemble modelling. Currently only majority voting is available. Weighted voting strategies should improve the results achieved with ensemble modelling. It should be possible to change the voting strategy with an additional parameter or combo box.
Decription from #1630: The voting mechanism for ensembles of classifiers based on discriminating functions should be enhanced to weight the vote of a single classifier based on the output of its discriminating function and the selected threshold. This information should also be included into the calculation of a confidence value for each sample.
Change History (31)
comment:12 Changed 5 years ago by sforsten
- Owner changed from sforsten to mkommend
- Status changed from accepted to reviewing
comment:17 Changed 5 years ago by sforsten
- Owner changed from mkommend to sforsten
- Status changed from reviewing to assigned
comment:30 Changed 3 years ago by gkronber
- Owner changed from sforsten to architects
- Status changed from accepted to assigned