Label Classification on TRDL21 (Experiment 2) benchmark leaderboard · SOTA2 Research

Label Classification on TRDL21 (Experiment 2)

0.376KappaRandom Forest

Evaluation Results

Method
Random Forest2026.01	0.376	0.623	51.5
Random Forest2026.01	0.372	0.623	51.5
Random Forest2026.01	0.371	0.626	51.4
Random Forest2026.01	0.364	0.622	50.8
Random Forest w/o conf.2026.01	0.364	0.613	50.6
Random Forest w/o conf.2026.01	0.363	0.614	50.3
Oracle2026.01	0.354	0.631	50.3
Oracle2026.01	0.351	0.604	49.8
Random Forest w/o conf.2026.01	0.347	0.601	49.7
Oracle2026.01	0.343	0.604	49.8
XGBoost2026.01	0.338	0.591	46.9
XGBoost2026.01	0.334	0.582	48
LGBM2026.01	0.333	0.582	48.1
LGBM2026.01	0.333	0.589	46.6
XGBoost2026.01	0.326	0.572	47.6
LGBM2026.01	0.322	0.569	47.2
Random Forest w/o conf.2026.01	0.321	0.582	46.9
Ordinal Logistic Regression2026.01	0.32	0.598	40.9
XGBoost2026.01	0.319	0.565	47.3
LGBM2026.01	0.318	0.566	47.1
Oracle2026.01	0.311	0.573	47.7
Ordinal Logistic Regression2026.01	0.307	0.607	39.8
Ordinal Logistic Regression2026.01	0.287	0.565	39.1
Ordinal Logistic Regression2026.01	0.277	0.579	38.3
Random Forest2026.01	0.267	0.478	43.1
Random Forest2026.01	0.262	0.494	41.7
XGBoost2026.01	0.261	0.464	42.9
LGBM2026.01	0.26	0.437	42.8
LGBM2026.01	0.259	0.463	42.7
XGBoost2026.01	0.259	0.433	42.8
Random Forest w/o conf.2026.01	0.246	0.471	38.8
Ordinal Logistic Regression2026.01	0.244	0.499	37.8
Ordinal Logistic Regression2026.01	0.243	0.495	36.9
Random Forest w/o conf.2026.01	0.224	0.387	37.9
Oracle2026.01	0.114	0.385	27.3
Oracle2026.01	0.113	0.34	25.1