Label Classification on TRDL21 (Experiment 2)

0.376Kappa

Random Forest

Updated 5mo ago

Evaluation Results

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