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Test error (%) on the MNIST classification task of state-of-the-art methodologies based on ensemble over the years.
| Method | Year | Test error (%) |
|---|---|---|
| Multi-column deep neural networks for image classification43 | 2012 | 0.23 |
| Regularization of neural networks using dropconnect44 | 2013 | 0.21 |
| RMDL:random multimodel deep learning for classification45 | 2018 | 0.18 |
| Base-branching & Merging CNNw/HFCs20 | 2020 | 0.16 |
| Efficient-CapsNet | 2021 | 0.16 |
