Image Classification on MNIST (Certification and Rejection Metrics)
99.2AccuracyKT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| KTSigma=0.252026.06 | 99.2 | 0.573 | 1,264.8 | 1,273.4 | 200 | |
| Global ChampSigma=0.252026.06 | 99.2 | 0.599 | 1,163.6 | 1,171.4 | 200 | |
| SpecialistSigma=0.252026.06 | 99.2 | 0.585 | 1,162.2 | 1,170 | 200 | |
| Cohen-10kSigma=0.252026.06 | 99.2 | 0.773 | 10,000 | 10,000 | 10,000 | |
| Cohen-1kSigma=0.252026.06 | 99.2 | 0.6 | 1,000 | 1,000 | 1,000 | |
| Cohen-10kSigma=0.52026.06 | 98.8 | 1.388 | 10,000 | 10,000 | 10,000 | |
| Cohen-1kSigma=0.52026.06 | 98.8 | 1.123 | 1,000 | 1,000 | 1,000 | |
| KTSigma=0.52026.06 | 98.4 | 1.062 | 1,199 | 1,215 | 212.5 | |
| Global ChampSigma=0.52026.06 | 98.4 | 1.095 | 1,103 | 1,117.5 | 212.5 | |
| SpecialistSigma=0.52026.06 | 98.4 | 1.095 | 1,103 | 1,117.5 | 212.5 | |
| Cohen-10kSigma=1.2026.06 | 91.2 | 1.2 | 10,000 | 10,000 | 10,000 | |
| Cohen-1kSigma=1.2026.06 | 89.6 | 1.07 | 1,000 | 1,000 | 1,000 | |
| KTSigma=1.2026.06 | 89.2 | 0.981 | 967.8 | 1,058.7 | 216.7 | |
| SpecialistSigma=1.2026.06 | 89.2 | 0.993 | 925.8 | 1,011.7 | 216.7 | |
| Global ChampSigma=1.2026.06 | 88.6 | 0.946 | 1,059 | 1,168.8 | 205.3 |