tl_calc_classification_metrics: Calculate classification metrics

In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Calculate classification metrics

Description

Calculate classification metrics

Usage

tl_calc_classification_metrics(
  actuals,
  predicted,
  predicted_probs = NULL,
  metrics = c("accuracy", "precision", "recall", "f1", "auc"),
  thresholds = NULL,
  ...
)

Arguments

actuals	Actual values (ground truth)
predicted	Predicted class values
predicted_probs	Predicted probabilities (for metrics like AUC)
metrics	Character vector of metrics to compute
thresholds	Optional vector of thresholds to evaluate for threshold-dependent metrics
...	Additional arguments

Value

A tibble of evaluation metrics

tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.