Transductive Conformal Prediction on MNIST
2.9187Efficiency RateAPS
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| APSTransductive size (n)=9, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 2.9187 | 2.5481 | 92 | |
| SCPTransductive size (n)=9, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 2.8948 | 2.3454 | 90 | |
| APSTransductive size (n)=6, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 2.4883 | 1.5429 | 90 | |
| SCPTransductive size (n)=6, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 2.4865 | 1.2974 | 94 | |
| APSTransductive size (n)=3, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 1.0683 | 0 | 84 | |
| SCPTransductive size (n)=3, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 0.9261 | 0 | 94 | |
| TSCPTransductive size (n)=9, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 0.8133 | 0.6379 | 96 | |
| TSCPTransductive size (n)=6, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 0.741 | 0.695 | 88 | |
| TSCPTransductive size (n)=3, Backbone=LeNet5, Alpha (confidence level)=0.1, Noise level (1-epsilon)=0.982025.09 | 0.3333 | 0 | 84 |