Gradient boosting on RR-interval features on vitaldb-arrhythmia-abnormal@0

Run f909a6dec0c9 · baseline · evaluated 2026-10-29

Scores

auroc	0.961 (0.929–0.982)
auprc	0.969 (0.945–0.985)
brier	0.059 (0.041–0.084)
accuracy	0.928 (0.899–0.952)
sensitivity	0.889 (0.831–0.935)
specificity	0.964 (0.946–0.978)
f1	0.922 (0.885–0.950)
n	20874
tokens (in / out)	0 / 0
cost (USD)	0.0000

By category

N: false-positive rate	0.036 (n=10829)
AFIB/AFL: sensitivity	0.980 (n=6269)
AVB: sensitivity	0.857 (n=35)
Patterned Atrial Ectopy: sensitivity	0.950 (n=725)
Patterned Ventricular Ectopy: sensitivity	0.873 (n=1051)
SND: sensitivity	0.631 (n=1191)
SVTA: sensitivity	0.740 (n=131)
Unclassifiable: sensitivity	1.000 (n=2)
VT: sensitivity	0.797 (n=79)
WAP/MAT: sensitivity	0.432 (n=562)

Reuse this result

Download per-item predictions (parquet) · JSON

@misc{medbench_f909a6dec0c9,
  title = {Gradient boosting on RR-interval features on Abnormal rhythm in 5-second intraoperative ECG (lead II) (vitaldb-arrhythmia-abnormal@0)},
  author = {{medbench.kr}},
  year = {2026},
  howpublished = {\url{https://medbench.kr/r/f909a6dec0c9}},
  note = {Evaluated 2026-10-29, harness p0.1, run key 1f80b6e1367f}
}

Versions

model	`medbench/arrhythmia-hgb-rr` (medbench.kr)
task spec hash	`bd4a0b735b2cad94715419405f020eee988266255064af1de71dcffe645c95f6`
harness	`p0.1`
run key	`1f80b6e1367f65a3182c224654d3383b56838528bdccbf26af8142b41b670a86`
config	`{"data_hash": "35b6d4522b057ea66b78d7d6354160c95e2e14087c898d090512c622a9fa0247", "eval_split": "test", "features": "rr-v1", "model": "HistGradientBoostingClassifier", "random_state": 0, "train_split": "train"}`

Data

VitalDB Arrhythmia Database, CC BY 4.0.

Eun D, Shim K, Lee H, Lim Y, Lim H, Lee H, Lee HC. VitalDB Arrhythmia Database: An Anesthesiologist-Validated Large-Scale Intraoperative Arrhythmia Dataset with Beat and Rhythm Labels (version 1.0.0). PhysioNet. 2026. doi:10.13026/axd6-wm13