LightGBM on 33 HRV measures (SCOPE authors' training script) on scope-arrest@0

Run 60319ac1fa48 · baseline · evaluated 2026-10-30

Scores

auroc	0.826 (0.723–0.903)
auprc	0.152 (0.028–0.361)
brier	0.016 (0.008–0.025)
n	55069
tokens (in / out)	0 / 0
cost (USD)	0.0000

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@misc{medbench_60319ac1fa48,
  title = {LightGBM on 33 HRV measures (SCOPE authors' training script) on ICU cardiac arrest within 0.5-24 h from a 5-min ECG epoch (scope-arrest@0)},
  author = {{medbench.kr}},
  year = {2026},
  howpublished = {\url{https://medbench.kr/r/60319ac1fa48}},
  note = {Evaluated 2026-10-30, harness p0.1, run key 2953154da6c2}
}

Versions

model	`medbench/scope-hrv-lgbm` (medbench.kr)
task spec hash	`af77a27735e47b841e3976bca42aa89e908a7591ed9434da8bad0632d1307cfc`
harness	`p0.1`
run key	`2953154da6c23c0009d23b700d5d2a32379f4f910a193816a9e2d054f4bb93b9`
config	{"bayes_opt": {"init_points": 3, "n_iter": 50}, "best_fold": 4, "calibration": "beta", "cv_best_iterations": [17, 13, 5, 1167, 58], "data_hash": "413c7afff72329ade08dbfdd3ebdd2a274380007bcb1608cc8e5c659e5953404", "eval_split": "test", "features": "hrv33", "final_iterations": 252, "fold_best_auprc": [0.1432865278445492, 0.08618973463777493, 0.05468328474036563, 0.19467041902276253, 0.13330590298953648], "imputed_values": {"test": 4079, "train": 16684}, "params": {"bagging_fraction": 0.9, "bagging_freq": 1, "feature_fraction": 0.6, "force_row_wise": true, "lambda_l1": 0.7, "lambda_l2": 0.9, "learning_rate": 0.005, "max_depth": 5, "min_child_samples": 6, "min_child_weight": 10.0, "num_leaves": 26, "objective": "binary", "random_state": 42, "verbose": -1}, "train_split": "train"}

Data

SCOPE: ICU ECG and PPG before cardiac arrest, death or discharge, CC BY 4.0.

SCOPE: A survival and cardiac arrest outcome dataset with PPG and ECG waveforms from intensive care units (version 1.0). KHDP; 2025. doi:10.23421/2025.0698