BB
BenchBoard

Decision cockpit for pathology foundation-model benchmarking, built to move from broad coverage scans to task-level evidence.

← back to BenchBoard·all tasks

Task Evidence

AURORA-MBC · hla_a_hypermethylation_status (AURORA-Metastatic-Breast-Multiomics__HLA_A_HyperMe)

Biomarker & Molecular Profiling / Genomic, Epigenetic & Pathway Alterations

Inspect benchmark evidence for one task at a time: who leads, how stable the split-level results are, and which neighbouring tasks are likely to transfer intuition.

clsL1 · Biomarker & Molecular ProfilingL2 · Genomic, Epigenetic & Pathway AlterationsbreastH&EInformative evidence

Task metadata

Fields sourced from benchmark_main. Missing values are shown as —.

cls
Identity
task_key
AURORA-Metastatic-Breast-Multiomics__HLA_A_HyperMe
dataset_name
AURORA-MBC
task_name
hla_a_hypermethylation_status
task_type
cls
Taxonomy
task_family_l1
Biomarker & Molecular Profiling
task_family_l2
Genomic, Epigenetic & Pathway Alterations
label_structure
binary
num_classes
2
labels
{"0": "Non_Hypermethylated", "1": "Hypermethylated"}
Biology
organ
breast
stain
H&E
specimen_type
unknown
timepoint
mixed
disease
乳腺癌
Scale & Labels
patient_n
46
slide_n
131
label_source
molecular_omics
label_visibility
indirect
Result Evidence
result_tier
Informative
result_quality_score
74.6
result_flags
unstable
result_tier_reason
High split dispersion: median std 0.192.Clear model separation: significant-win density 0.183.Difficulty sits in a usable range: best mean 0.791.Leader has a visible runner-up gap: 0.023.
loading…

Similar tasks

Ranked by shared L2 subtype first, then L1 family, organ, type and label structure.