#1117 closed feature request (done)
Evaluation of symbolic regression solutions based on the correlation coefficient instead of the (scaled) MSE
Reported by: | gkronber | Owned by: | mkommend |
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Priority: | medium | Milestone: | HeuristicLab 3.3.1 |
Component: | ZZZ OBSOLETE: Problems.DataAnalysis.Regression | Version: | 3.3.1 |
Keywords: | Cc: |
Description
Maximizing the Pearson's correlation coefficient r² is equivalent to maximization of the scaled MSE, however the calculation of r² is more efficient because it can be calculated in a single pass while the scaled MSE has to be calculated in two passes.
Change History (10)
comment:1 Changed 9 years ago by gkronber
- Status changed from new to assigned
comment:2 Changed 9 years ago by gkronber
comment:3 Changed 9 years ago by gkronber
- Moved upper and lower estimation limit parameters into ISymbolicRegressionEvaluator interface and introduced an Evaluate method in the interface in preparation for a ISymbolicRegressionEvaluator parameter for the validation best solution analyzer.
comment:4 Changed 9 years ago by gkronber
- Changed validation best solution analyzer and tournament pruning operator to use the evaluator specified in the problem parameters.
comment:5 Changed 9 years ago by gkronber
- Status changed from assigned to accepted
comment:6 Changed 9 years ago by gkronber
- Owner changed from gkronber to mkommend
- Status changed from accepted to reviewing
comment:7 Changed 9 years ago by mkommend
- Status changed from reviewing to readytorelease
comment:8 Changed 9 years ago by mkommend
- Resolution set to done
- Status changed from readytorelease to closed
comment:9 Changed 9 years ago by swagner
- Milestone changed from Iteration 4 to Current
Milestone Iteration 4 deleted
comment:11 Changed 9 years ago by swagner
- Milestone changed from Current to HeuristicLab 3.3.0
Milestone Current deleted
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Added correlation coefficient evaluator for symbolic regression problems with r4127.