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. Author manuscript; available in PMC: 2020 Nov 13.
Published in final edited form as: Proc ACM Conf Health Inference Learn (2020). 2020 Apr;2020:151–159. doi: 10.1145/3368555.3384468

Table 4:

Subclass prevalence in high and low error clusters on CIFAR, MURA, and CXR14.

Dataset-Superclass (Subclass) Difference in Subclass Prevalence (High Error Cluster, Low Error Cluster) Overall Subclass Prevalence
CXR14-Pneumothorax (Drains) 0.68 (0.17, 0.84) 0.80
CIFAR-Carnivores (Bears) 0.30 (0.36, 0.06) 0.20
CIFAR-Outdoor (Forest) 0.28 (0.36, 0.08) 0.20
CIFAR-Household (Lamp) 0.16 (0.28, 0.12) 0.20
MURA-Abnormal (Hardware) 0.03 (0.29, 0.26) 0.11
MURA-Abnormal (Degenerative) 0.04 (0.12, 0.08) 0.43