Discrimination assessment for binary classifier
Usage
assess_discrimination(
y_true,
y_pred,
y_pred_ref = NULL,
n_bootstrap = 1000L,
confidence = 0.95,
random_state = 42L
)
Arguments
- y_true
Integer 0/1 vector.
- y_pred
Predicted probabilities.
- y_pred_ref
Optional reference-model probabilities for NRI/IDI.
- n_bootstrap
Bootstrap reps for AUC CI.
- confidence
Confidence level.
- random_state
Seed.