Text Classification On Dodf Data
評価指標
Average F1
Weighted F1
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Average F1 | Weighted F1 | Paper Title | Repository |
|---|---|---|---|---|
| SVM + tf-idf (no pre-trained vocab) | 0.8755 | 0.8917 | Inferring the source of official texts: can SVM beat ULMFiT? | |
| ULMFiT (pre-trained vocab, no gradual unfreezing) | 0.8918 | 0.9257 | Inferring the source of official texts: can SVM beat ULMFiT? | |
| SVM + word counts (pre-trained vocab) | 0.8782 | 0.9049 | Inferring the source of official texts: can SVM beat ULMFiT? | |
| ULMFiT (pre-trained vocab) | 0.8374 | 0.9088 | Inferring the source of official texts: can SVM beat ULMFiT? | |
| ULMFiT (no pre-trained vocab) | 0.8469 | 0.8974 | Inferring the source of official texts: can SVM beat ULMFiT? |
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