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Fake News Detection On Liar
Métriques
Test Accuracy
Validation Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | |||
|---|---|---|---|
| Hybrid CNNs (Text + All) | 0.274 | 0.247 | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection |
| CNNs | 0.27 | 0.26 | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection |
| Hybrid CNNs (Text + Speaker) | 0.248 | 0.277 | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection |
| Bi-LSTMs | 0.233 | 0.223 | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection |
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