Multi-class document classification on Amazon Full (test)
63AccuracyVDCNN
Evaluation Results
| Method | Links | |
|---|---|---|
| VDCNNModel Type=Character-based2018.11 | 63 | |
| EXAMModel Type=Word-based2018.11 | 61.9 | |
| W.C RegionEmbModel Type=Word-based2018.11 | 60.9 | |
| Bigram-FastTextModel Type=Word-based2018.11 | 60.2 | |
| Char-CNNModel Type=Character-based2018.11 | 59.6 | |
| LSTMModel Type=Word-based2018.11 | 59.4 | |
| Char-CRNNModel Type=Character-based2018.11 | 59.2 | |
| Small word CNNModel Type=Word-based2018.11 | 56.3 | |
| BoWModel Type=Feature Engineering2018.11 | 54.6 | |
| N-gramsModel Type=Feature Engineering2018.11 | 54.3 | |
| Large word CNNModel Type=Word-based2018.11 | 54.1 | |
| N-grams TFIDFModel Type=Feature Engineering2018.11 | 52.4 |