tl_evaluate_thresholds: Evaluate metrics at different thresholds
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
tl_evaluate_thresholds R Documentation
Evaluate metrics at different thresholds
Description
Evaluate metrics at different thresholds
Usage
tl_evaluate_thresholds(actuals, probs, thresholds, pos_class)
Arguments
actuals
Actual values (ground truth)
probs
Predicted probabilities
thresholds
Vector of thresholds to evaluate
pos_class
The positive class
Value
A tibble of metrics at different thresholds
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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| tl_evaluate_thresholds | R Documentation |
Evaluate metrics at different thresholds
Description
Evaluate metrics at different thresholds
Usage
tl_evaluate_thresholds(actuals, probs, thresholds, pos_class)
Arguments
actuals |
Actual values (ground truth) |
probs |
Predicted probabilities |
thresholds |
Vector of thresholds to evaluate |
pos_class |
The positive class |
Value
A tibble of metrics at different thresholds
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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