HyperAI

Multi Label Classification On Chexpert

Métriques

AVERAGE AUC ON 14 LABEL
NUM RADS BELOW CURVE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
AVERAGE AUC ON 14 LABEL
NUM RADS BELOW CURVE
Paper TitleRepository
Orlando (single model)0.9031.600--
Yoake (single model)0.8790.600--
KCV-CNN-ensemble-CN0.9112.200--
{chexpert-classifier}(single model)0.8820.600--
Chest-x-ray classification using0.6180.200--
DiseaseNet Samg2003 single model, DPS RKP, http://sambhavgupta.co0.8991.600--
as-hust-v10.9232.400--
AccidentNet v1 (single model)0.8971.200--
brian-baseline-v20.9192.200--
Ensemble_v20.9172.400--
HinaNetV2 (ensemble)0.9092.200--
AccidentNet V2 (single model)0.8811.000--
WL_Baseline (ensemble)0.9122.000--
Coolver XH0.8840.800--
KD-Prune10 (Single model)0.9092.000--
SenseXDR0.9272.600--
Model_Team_34 (single model)0.8500.600--
Maxium (ensemble)0.9232.400--
KD_Mobilenet (single model)0.8620.800--
as-hust-v30.9242.400--
0 of 226 row(s) selected.