List your company
ResearchFormerly WizWand

Conformal Prediction on FashionMNIST (test)

3.2814Efficiency Rate (γn,m)SCP
-0.2066560.6988971.604452.510003Sep 4, 2025
Updated 5mo ago

Evaluation results

MethodLinks
SCPn (transductive size)=9, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.093.28143.32190.96
APSn (transductive size)=9, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.093.20513.21080.94
SCPn (transductive size)=6, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.093.17863.12890.9
APSn (transductive size)=6, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.093.14813.15530.94
SCPn (transductive size)=3, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.092.97372.90530.92
APSn (transductive size)=3, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.092.93252.87650.94
SCPTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.092.80650.57440.98
APSTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.092.58440.46330.94
SCPTransductive size (n)=9, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.092.36240.509484
TSCPn (transductive size)=6, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.092.18251.88810.92
TSCPn (transductive size)=9, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.092.08111.81270.86
APSTransductive size (n)=9, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.091.98710.750574
TSCPn (transductive size)=3, alpha=0.1, noise level (1-epsilon)=0.9, Backbone=ResNet202025.091.8571.7740.86
SCPTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.091.41760.43080.94
APSTransductive size (n)=6, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.091.40490.166766
APSTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.091.34960.33330.98
SCPTransductive size (n)=6, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.090.81030.166780
TSCPTransductive size (n)=9, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.090.62510.391572
TSCPTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.090.60310.45420.9
TSCPTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.090.54780.26420.98
APSTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.090.260800.84
TSCPTransductive size (n)=6, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.090.2593064
SCPTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.090.175400.84
TSCPTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=ResNet202025.090.111100.84
APSTransductive size (n)=3, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.090.0877066
SCPTransductive size (n)=3, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.09-0.0507070
TSCPTransductive size (n)=3, α=0.3, Noise level (1-ϵ)=0.98, Backbone=ResNet202025.09-0.0725076