Classification Efficiency (Conformal Prediction) on MNIST LeNet5 (test)
0.0714Gamma (Efficiency Rate)APS
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| APSTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | 0.0714 | 0 | 88 | |
| APSTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | 0.0123 | 0 | 96 | |
| APSTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | 0.0094 | 0 | 88 | |
| TSCPTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | -0.0099 | 0 | 88 | |
| SCPTransductive size (n)=9, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | -0.0134 | 0 | 88 | |
| SCPTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | -0.0253 | 0 | 90 | |
| TSCPTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | -0.0298 | 0 | 92 | |
| TSCPTransductive size (n)=6, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | -0.0363 | 0 | 82 | |
| SCPTransductive size (n)=3, Alpha=0.1, Noise level (1-epsilon)=1, Backbone=LeNet52025.09 | -0.0507 | 0 | 90 |