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