What happens to Stacked Ensembles in AutoML if you...

H2O.ai Certified Machine Learning Practice Questions - H2O.ai Certified Machine Learning (H2O.ai University) Exam

Question Number 5

What happens to Stacked Ensembles in AutoML if you set nfolds = 0?

AutoML trains more stacked ensembles than usual Cross-validation is disabled, which also disables Stacked Ensembles unless a blending frame is used AutoML automatically switches to leave-one-out cross-validation Stacked ensembles are still built using the validation_frame's labels directly

✔ Correct Answer:

Cross-validation is disabled, which also disables Stacked Ensembles unless a blending frame is used

H2O.ai Certified Machine Learning Practice Questions - H2O.ai Certified Machine Learning (H2O.ai University) Exam

Question Number 5

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