Skip to content

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

@okcze

Description

@okcze

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

Metadata

Metadata

Assignees

No one assigned

    Labels

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

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions