# Held-out test metrics for schema tr_ddi_mc (calibrated)
schema_tag = :tr_ddi_mc
n_features = 15
n_test = 1862
AUC = 0.828199983438752
MCC = 0.5068728297867575
ECE_raw_per_bin = 0.20941201644349483
ECE_calibrated_per_bin = 0.019841075013226107
Brier = 0.14976113687131232
tuning_measure = BrierLoss()
model = MLJ.Stack (6 fixed-HP base learners + LR_L2 metalearner) + post-hoc calibrator
calibrator_method = isotonic
calibrator_ece_val_raw = 0.1837978168527895
calibrator_ece_val_platt = 0.19935518445889314
calibrator_ece_val_isotonic = 0.01062032360845775
stack_nfolds = 5
data_split = Stack on train; calibrator on val; ECE on test
