Image Classification on Original MNIST 17 (test)
93.11AccuracyTI-RI-SVM
Evaluation Results
| Method | Links | |
|---|---|---|
| TI-RI-SVMTraining Samples=5002021.09 | 93.11 | |
| L-TI-RI-SVMTraining Samples=5002021.09 | 92.58 | |
| Best CNN / ResNetTraining Samples=5002021.09 | 91.33 | |
| L-TI-SVMTraining Samples=5002021.09 | 91.01 | |
| TI-SVMTraining Samples=5002021.09 | 91 | |
| RI-SVMTraining Samples=5002021.09 | 90.19 | |
| L-RI-SVMTraining Samples=5002021.09 | 89.65 | |
| L-TI-RI-SVMTraining Samples=2002021.09 | 89.23 | |
| L-SVMTraining Samples=5002021.09 | 88.21 | |
| TD (two-sided)Training Samples=5002021.09 | 88.15 | |
| RI-SVM (Average-Fit)Training Samples=5002021.09 | 87.21 | |
| SVMTraining Samples=5002021.09 | 87.14 | |
| L-TI-SVMTraining Samples=2002021.09 | 87.02 | |
| TI-RI-SVMTraining Samples=2002021.09 | 86.47 | |
| L-RI-SVMTraining Samples=2002021.09 | 83.96 | |
| RI-SVMTraining Samples=2002021.09 | 83.6 | |
| Best CNN / ResNetTraining Samples=2002021.09 | 83.2 | |
| TI-SVMTraining Samples=2002021.09 | 82.34 | |
| L-SVMTraining Samples=2002021.09 | 82.11 | |
| TD (two-sided)Training Samples=2002021.09 | 81.68 | |
| L-TI-RI-SVMTraining Samples=1002021.09 | 81.55 | |
| L-TI-SVMTraining Samples=1002021.09 | 78.86 | |
| RI-SVM (Average-Fit)Training Samples=2002021.09 | 78.81 | |
| SVMTraining Samples=2002021.09 | 78.67 | |
| L-RI-SVMTraining Samples=1002021.09 | 77.96 | |
| L-SVMTraining Samples=1002021.09 | 75.27 | |
| TI-RI-SVMTraining Samples=1002021.09 | 75.1 | |
| RI-SVMTraining Samples=1002021.09 | 73.82 | |
| TD (two-sided)Training Samples=1002021.09 | 73.04 | |
| TI-SVMTraining Samples=1002021.09 | 69.34 | |
| Best CNN / ResNetTraining Samples=1002021.09 | 68.33 | |
| SVMTraining Samples=1002021.09 | 68.16 | |
| RI-SVM (Average-Fit)Training Samples=1002021.09 | 68.05 |