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Opened 6 years ago

Closed 2 years ago

#2806 closed defect (duplicate)

Positive class value setting from classification problems is not set correctly in classification ensemble solutions

Reported by: gkronber Owned by: bburlacu
Priority: medium Milestone: HeuristicLab 3.3.17
Component: Algorithms.DataAnalysis Version:
Keywords: Cc:

Description

Steps to reproduce:

  • New RF for classification
  • Load UCI problem 'Iris'
  • Set positive class value to 'Class 2'
  • Load algorithm into cross-validation and run
  • The positive class value for the resulting ensemble solution is 'Class 0'

Change History (8)

comment:1 Changed 6 years ago by gkronber

  • Milestone changed from HeuristicLab 3.3.15 to HeuristicLab 3.3.16

comment:2 Changed 6 years ago by abeham

  • Version 3.3.14 deleted

comment:3 Changed 4 years ago by gkronber

  • Milestone changed from HeuristicLab 3.3.16 to HeuristicLab 3.3.17

comment:4 Changed 3 years ago by gkronber

Duplicate of #3053?

comment:5 Changed 2 years ago by bburlacu

  • Owner set to bburlacu
  • Status changed from new to accepted

The problem was that the CrossValidation class did not use the regular cloning mechanism to obtain a copy of the problem data, because it also needed to shuffle the dataset. the positive class parameter was missing from the ad-hoc cloning code. Fixed with r17833.

Last edited 2 years ago by bburlacu (previous) (diff)

comment:6 Changed 2 years ago by bburlacu

  • Owner changed from bburlacu to gkronber
  • Status changed from accepted to reviewing

comment:7 Changed 2 years ago by bburlacu

  • Owner changed from gkronber to bburlacu
  • Status changed from reviewing to assigned

comment:8 Changed 2 years ago by bburlacu

  • Resolution set to duplicate
  • Status changed from assigned to closed

Superseeded by #3102

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