Open the app Sign in Start free

NCA-ADS - Machine Learning With RAPIDS - Section 2.3

Evaluate models.

Evaluate trained models using held-out test sets and appropriate scoring functions to estimate generalisation performance. Recognise the risk of data leakage when the test set influences preprocessing or threshold selection.

More in this domain

Train models on the GPU with cuML and XGBoost.Section 2.1
Apply regression, classification, and clustering.Section 2.2
Tune hyperparameters.Section 2.4
Apply cross-validation methods.Section 2.5
Interpret performance metrics.Section 2.6

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.