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NCA-ADS - Machine Learning With RAPIDS - Section 2.6

Interpret performance metrics.

Interpret classification and regression metrics including accuracy, precision, recall, F1, AUC-ROC, RMSE, and R-squared in the context of the problem. Choose the metric that best reflects business or scientific objectives, especially when class distribution is skewed.

More in this domain

Train models on the GPU with cuML and XGBoost.Section 2.1
Apply regression, classification, and clustering.Section 2.2
Evaluate models.Section 2.3
Tune hyperparameters.Section 2.4
Apply cross-validation methods.Section 2.5

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