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[mice A] rf - bug from random forest #137

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[mice A] rf - bug from random forest#137
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algorithm failureError in imputation caused by algorithm (not code) failureinternal problemInterna problem with the imputation function can't be solved without preprocessing.

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@okcze
okcze
opened on Sep 25, 2020

Method: rf
Performance: 5/10
Test logs: link
Task: 190403

INFO [23:47:01.398] Applying learner 'removeconstants_before.collapsefactors.imput_mice_A.removeconstants_after.encodeimpact.classif.glmnet' on task 'Task 190403: regime_alimentaire (Supervised Classification)' (iter 2/5)

Error in randomForest.default(x = xobs, y = yobs, ntree = 1, ...) :
Can't have empty classes in y.

Some info about bug: link

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    algorithm failureError in imputation caused by algorithm (not code) failureinternal problemInterna problem with the imputation function can't be solved without preprocessing.

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