Model Evaluation Patterns
Overview
Comprehensive model evaluation using yardstick and related packages. Covers metrics for classification, regression, and survival outcomes, plus calibration and uncertainty quantification.
Classification Metrics
Binary Classification
library(yardstick)
# Hard predictions (class)
predictions |>
accuracy(truth = outcome, estimate = .pred_class)
predictions |>
sens(truth = outcome, estimate = .pred_class) # sensitivity/recall
predictio
[Description truncada. Veja o README completo no GitHub.]