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Implement multinomial Brier score #165

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merged 12 commits into from
Jun 25, 2018

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@eicherj eicherj commented Feb 15, 2018

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* Add response variables to the State
* Add listener/update for ModelPart.RESPONSE_VARIABLES
* Choose target image based on type and whether isResponseVariable
* Set all quasi-identifying attributes as feature variables
* Set all response variables, if any, as target variables
- This fixes an ArrayIndexOutOfBoundsException in the random forest
constructor, which throws this exception when no training instances
exist
- In general, it should only be predicted when at least one trainings
instance exist
- Possible improvement: As this leads to classification parameters such
as accuracy, sensitivity etc. being zero, it might be more reasonable to
rather return a trivial classifier
@prasser prasser merged commit aef88a7 into arx-deidentifier:changes-for-3.7.0 Jun 25, 2018
@eicherj eicherj deleted the brier-score branch June 28, 2018 07:57
prasser added a commit that referenced this pull request Aug 13, 2018
Implement multinomial brier score and brier skill score.
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2 participants