Classification on LETTER
98Accuracytrue-base
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| true-baseEpoch Selection=Last Epoch2024.05 | 98 | — | — | — | — | — | — | |
| true-baseEpoch Selection=Best Epoch2024.05 | 97.6 | — | — | — | — | — | — | |
| Original PNNNumber of hidden units=160002025.01 | 96.22 | — | — | — | — | — | — | |
| CS-PNNNumber of hidden units=20432025.01 | 92.45 | — | — | — | — | — | — | |
| annot-mixEpoch Selection=Last Epoch2024.05 | 85.1 | — | — | — | — | — | — | |
| annot-mixEpoch Selection=Best Epoch2024.05 | 84.9 | — | — | — | — | — | — | |
| ds-mixupEpoch Selection=Last Epoch2024.05 | 83.9 | — | — | — | — | — | — | |
| trace-regEpoch Selection=Best Epoch2024.05 | 82.8 | — | — | — | — | — | — | |
| conalEpoch Selection=Best Epoch2024.05 | 82.8 | — | — | — | — | — | — | |
| trace-regEpoch Selection=Last Epoch2024.05 | 82.7 | — | — | — | — | — | — | |
| conalEpoch Selection=Last Epoch2024.05 | 82.5 | — | — | — | — | — | — | |
| geo-reg-fEpoch Selection=Last Epoch2024.05 | 82.4 | — | — | — | — | — | — | |
| geo-reg-fEpoch Selection=Best Epoch2024.05 | 82.4 | — | — | — | — | — | — | |
| mv-mixupEpoch Selection=Last Epoch2024.05 | 81.3 | — | — | — | — | — | — | |
| mv-mixupEpoch Selection=Best Epoch2024.05 | 81.3 | — | — | — | — | — | — | |
| ds-mixupEpoch Selection=Best Epoch2024.05 | 79.5 | — | — | — | — | — | — | |
| mv-baseEpoch Selection=Best Epoch2024.05 | 78.4 | — | — | — | — | — | — | |
| crowd-arEpoch Selection=Last Epoch2024.05 | 78.1 | — | — | — | — | — | — | |
| crowd-arEpoch Selection=Best Epoch2024.05 | 77.8 | — | — | — | — | — | — | |
| mv-baseEpoch Selection=Last Epoch2024.05 | 75.6 | — | — | — | — | — | — | |
| geo-reg-wEpoch Selection=Best Epoch2024.05 | 74.2 | — | — | — | — | — | — | |
| geo-reg-wEpoch Selection=Last Epoch2024.05 | 73.9 | — | — | — | — | — | — | |
| DNN (NhL = 2)Number of hidden units=562025.01 | 72.93 | — | — | — | — | — | — | |
| madlEpoch Selection=Best Epoch2024.05 | 71.2 | — | — | — | — | — | — | |
| madlEpoch Selection=Last Epoch2024.05 | 69.1 | — | — | — | — | — | — | |
| union-netEpoch Selection=Best Epoch2024.05 | 66.8 | — | — | — | — | — | — | |
| union-netEpoch Selection=Last Epoch2024.05 | 66.3 | — | — | — | — | — | — | |
| crowd-layerEpoch Selection=Best Epoch2024.05 | 57.2 | — | — | — | — | — | — | |
| crowd-layerEpoch Selection=Last Epoch2024.05 | 56.8 | — | — | — | — | — | — | |
| Alg. 1model=Neural Network, epsilon (ε)=1/m, K=0.2√m2023.06 | — | 0.259 | 0.272 | — | — | — | — | |
| Alg. 1model=Neural Network, epsilon (ε)=1/√m, K=0.2√m2023.06 | — | 0.25 | 0.26 | — | — | — | — | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/m, K=0.2√m2023.06 | — | 0.285 | 0.297 | — | — | — | — | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/√m, K=0.2√m2023.06 | — | 0.287 | 0.296 | — | — | — | — | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/m2023.06 | — | — | — | — | — | 0.259 | 0.272 | |
| Alg. 1Model=Neural Network, Learning mode=Batch, epsilon=1/sqrt(m)2023.06 | — | — | — | — | — | 0.25 | 0.26 | |
| Alg. 2Model architecture=Linear model, Learning protocol=Online learning2023.06 | — | — | — | 0.919 | 0.935 | — | — | |
| ERMmodel=Neural Network2023.06 | — | 0.258 | 0.27 | — | — | — | — | |
| ERMModel Type=Linear, Learning Setting=Batch2023.06 | — | 0.287 | 0.297 | — | — | — | — | |
| ERMModel=Neural Network, Learning mode=Batch2023.06 | — | — | — | — | — | 0.258 | 0.27 | |
| OGDModel architecture=Linear model, Learning protocol=Online learning2023.06 | — | — | — | 0.916 | 0.926 | — | — |