Classification on pendigits
99.8AccuracyGAGA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GAGAParameter C=1.000, Noise Level=0.22022.09 | 99.8 | 0.004 | — | |
| GAGAParameter C=1.000, Noise Level=0.42022.09 | 99.6 | 0.006 | — | |
| GAGAParameter C=1.000, Noise Level=0.62022.09 | 99.6 | 0.004 | — | |
| GAGAParameter C=1.000, Noise Level=0.12022.09 | 99.4 | 0.004 | — | |
| MOSPLParameter C=1.000, Noise Level=0.52022.09 | 99.4 | 0.005 | — | |
| GAGAParameter C=1.000, Noise Level=0.52022.09 | 99.4 | 0.004 | — | |
| GAGAC=0.5, gamma=0.2, regularizer=mixture SP2022.09 | 99.3 | — | 178 | |
| GAGAParameter C=1.000, Noise Level=0.32022.09 | 99.2 | 0.006 | — | |
| MOSPLParameter C=1.000, Noise Level=0.22022.09 | 99.1 | 0.008 | — | |
| MOSPLParameter C=1.000, Noise Level=0.42022.09 | 99 | 0.005 | — | |
| ACSParameter C=1.000, Noise Level=0.32022.09 | 98.9 | 0.006 | — | |
| ACSC=0.5, gamma=0.2, regularizer=mixture SP2022.09 | 98.9 | — | — | |
| MOSPLC=0.5, gamma=0.2, regularizer=mixture SP2022.09 | 98.8 | — | — | |
| MOSPLParameter C=1.000, Noise Level=0.32022.09 | 98.6 | 0.012 | — | |
| MOSPLParameter C=1.000, Noise Level=0.62022.09 | 98.6 | 0.01 | — | |
| MOSPLParameter C=1.000, Noise Level=0.12022.09 | 98.4 | 0.006 | — | |
| ACSParameter C=1.000, Noise Level=0.62022.09 | 98.4 | 0.007 | — | |
| OriginalC=0.5, gamma=0.2, regularizer=mixture SP2022.09 | 98.2 | — | — | |
| ACSParameter C=1.000, Noise Level=0.22022.09 | 98 | 0.003 | — | |
| ACSParameter C=1.000, Noise Level=0.42022.09 | 98 | 0.009 | — | |
| ACSParameter C=1.000, Noise Level=0.12022.09 | 97.9 | 0.012 | — | |
| t-SNEk=10, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 97.7 | — | — | |
| UMAPk=20, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 97.6 | — | — | |
| ACSParameter C=1.000, Noise Level=0.52022.09 | 97.4 | 0.004 | — | |
| GAGAParameter C=1.000, Noise Level=0.72022.09 | 97.4 | 0.006 | — | |
| UMAPk=10, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 97.3 | — | — | |
| t-SNEk=20, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 97.3 | — | — | |
| LargeVisk=20, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 97.3 | — | — | |
| MOSPLParameter C=1.000, Noise Level=0.72022.09 | 97.2 | 0.006 | — | |
| ACSParameter C=1.000, Noise Level=0.72022.09 | 97 | 0.007 | — | |
| LargeVisk=10, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 96.6 | — | — | |
| LargeVisk=40, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 95.9 | — | — | |
| t-SNEk=40, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 95.6 | — | — | |
| UMAPk=40, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 95.4 | — | — | |
| UMAPk=80, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 95.1 | — | — | |
| UMAPk=160, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 95.1 | — | — | |
| CS-PNNNumber of hidden units=2632025.01 | 95.05 | — | — | |
| LargeVisk=80, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 94.9 | — | — | |
| t-SNEk=160, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 94.9 | — | — | |
| t-SNEk=80, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 94.8 | — | — | |
| Original PNNNumber of hidden units=74942025.01 | 94.25 | — | — | |
| LargeVisk=160, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 92.1 | — | — | |
| DNN (NhL = 2)Number of hidden units=342025.01 | 90.35 | — | — | |
| Laplacian Eigenmapsk=10, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 77.8 | — | — | |
| Laplacian Eigenmapsk=20, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 77.8 | — | — | |
| Laplacian Eigenmapsk=40, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 77.8 | — | — | |
| Laplacian Eigenmapsk=80, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 76.7 | — | — | |
| Laplacian Eigenmapsk=160, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 74.7 | — | — | |
| PCAk=80, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 64.3 | — | — | |
| PCAk=40, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 63.6 | — | — | |
| PCAk=20, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 63.3 | — | — | |
| PCAk=160, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 62.9 | — | — | |
| PCAk=10, evaluation=10-fold cross-validation, classifier=kNN2018.02 | 62.2 | — | — |