NCA-ADS - Machine Learning With RAPIDS - Section 2.5
Apply cross-validation methods.
Apply k-fold and stratified cross-validation to obtain robust performance estimates on limited datasets. Distinguish between cross-validation for model selection and the separate hold-out test set required for unbiased final evaluation.
More in this domain
Back to all Machine Learning With RAPIDS objectives, or the NCA-ADS cert hub.
Examworthy is not affiliated with or endorsed by NVIDIA. Original, blueprint-aligned practice material only.