Opened 8 years ago
Closed 7 years ago
#2756 closed defect (done)
GBT with logistic regression loss function cannot be used in cross-validation
| Reported by: | gkronber | Owned by: | gkronber |
|---|---|---|---|
| Priority: | medium | Milestone: | HeuristicLab 3.3.15 |
| Component: | Algorithms.DataAnalysis | Version: | 3.3.14 |
| Keywords: | Cc: |
Description
GBT with logistic regression loss function produces a classification solution (discriminant function model) even though the problem is a regression problem.
In cross-validation we clone the problem and try to use it in combination with the models in an ensemble. This throws an exception when the problem is actually a regression problem.
Change History (10)
comment:1 Changed 8 years ago by gkronber
- Owner set to gkronber
- Status changed from new to accepted
comment:2 Changed 8 years ago by gkronber
comment:3 Changed 8 years ago by gkronber
- Owner changed from gkronber to mkommend
- Status changed from accepted to reviewing
comment:4 Changed 8 years ago by gkronber
- Owner changed from mkommend to gkronber
- Status changed from reviewing to assigned
comment:5 Changed 8 years ago by gkronber
Should be solved by creating two versions of GBT (regression vs. classification)
comment:6 Changed 8 years ago by gkronber
comment:7 Changed 7 years ago by gkronber
- Status changed from assigned to accepted
comment:8 Changed 7 years ago by gkronber
comment:9 Changed 7 years ago by gkronber
- Status changed from accepted to readytorelease
comment:10 Changed 7 years ago by gkronber
- Resolution set to done
- Status changed from readytorelease to closed
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r14781: changed cross-validation to work for GBT with logistic regression loss