Auto Model Criteria
I was wondering what "Best Gains" mean regarding the models used to predict in the automodel section, as the percentage for accuracy is already determing the "best model" isn't it? How can this be different in some cases? Can somebody explain the exact differences?
Thank you very much
yyhuang Administrator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 363 RM Data ScientistHi @Newbie_01,
This is a great question. Before we go deeper, hope you can benefit from the previous discussions and especially the insights from Ingo & Lionel
Accuracy is one of the performance measurements created from the confusion matrix. Sometimes, you may have to think about the potential gain if you correctly predict or potential cost if you incorrectly predict. These business values can be defined in your 'cost matrix' to help you align the model performances with the business decision making.