[SOLVED] Optimize selection (Evolutionary)

gutompfgutompf Member Posts: 21 Maven
edited November 2018 in Help
I am using Optimize selection (Evolutionary) for feature selection. I have population 30 and maximum number of generation 50. I have 10-fold crossValidation inside. So I thought that I will have 30x50x10 = 15 000 evaluations of the inner learner (I have SVM as learner in Validation). But now it run  beyond 20 000 evaluations... Where I am wrong?


  • MariusHelfMariusHelf RapidMiner Certified Expert, Member Posts: 1,869 Unicorn
    Hi Milan,

    the population size specifies the number of individuals which survive in each generation. But since in each generation some new individuals are created and some others "die", some more evaluations have to be performed to find the best individuals.

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