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Active Learning on Multiple Datasets (test)

58.82AULC

random

Updated 8d ago

Evaluation Results

Method	Links
random 2026.05		58.82	0.5934
TDS-Segment 2026.05		58.78	0.5905
Core Set 2026.05		58.78	0.5923
Exp. Model Change 2026.05		58.78	0.5937
Uncert. Least Conf. 2026.05		58.78	0.5938
Uncert. Res. 2026.05		58.78	0.5938
Query By Comm. 2026.05		58.77	0.5927
Uncert. Entropy 2026.05		58.77	0.5936
Learning Loss 2026.05		58.75	0.5932
BADGE 2026.05		58.73	0.5923
TDS 2026.05		58.65	0.5896
random 2026.05		57.94	0.5853
Core Set 2026.05		57.89	0.5851
Uncert. Entropy 2026.05		57.86	0.5844
Exp. Model Change 2026.05		57.86	0.5844
Uncert. Least Conf. 2026.05		57.86	0.5845
Uncert. Res. 2026.05		57.86	0.5845
BADGE 2026.05		57.86	0.5847
Query By Comm. 2026.05		57.86	0.5849
TDS-Segment 2026.05		57.86	0.5873
Learning Loss 2026.05		57.82	0.5855
TDS 2026.05		57.78	0.5815
random 2026.05		56.1	0.5672
TDS-Segment 2026.05		56	0.5724
Query By Comm. 2026.05		55.99	0.5668
Core Set 2026.05		55.99	0.5674
Uncert. Entropy 2026.05		55.93	0.5664
Exp. Model Change 2026.05		55.93	0.5664
Uncert. Least Conf. 2026.05		55.9	0.5667
Uncert. Res. 2026.05		55.9	0.5667
BADGE 2026.05		55.89	0.568
Learning Loss 2026.05		55.85	0.5665
TDS 2026.05		55.82	0.5655