Uncertainty Quantification on MIT-BIH benchmark leaderboard · SOTA2 Research

Uncertainty Quantification on MIT-BIH

998CULSTM

Evaluation Results

Method	Links
LSTM2026.02		998	926	2,719	17,249	83.35	51.87	86.38	26.85
CNN1D2026.02		439	205	1,139	20,109	93.86	68.17	94.64	27.82
CNN1D2026.02		434	224	870	20,364	95	65.96	95.9	33.28
LSTM2026.02		329	128	2,012	19,423	90.22	71.99	90.61	14.05
LSTM2026.02		315	142	1,862	19,573	90.85	68.93	91.31	14.47
CNN1D2026.02		190	267	293	21,142	97.44	41.58	98.63	39.34
Transformer2026.02		125	205	273	21,289	97.82	37.88	98.73	31.41
UCTECG-Net2026.02		120	178	168	21,426	98.42	40.27	99.22	41.67
Transformer2026.02		113	181	219	21,379	98.17	38.44	98.99	34.04
UCTECG-Net2026.02		110	186	141	21,455	98.51	37.16	99.35	43.82
Transformer2026.02		88	205	151	21,448	98.37	30.03	99.3	36.82
UCTECG-Net2026.02		71	237	119	21,465	98.37	23.05	99.45	37.37