Fake News Detection On Liar
Metrics
Test Accuracy
Validation Accuracy
Results
Performance results of various models on this benchmark
Model Name | Test Accuracy | Validation Accuracy | Paper Title | Repository |
|---|---|---|---|---|
| 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 | - |
| Hybrid CNNs (Text + All) | 0.274 | 0.247 | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection | - |
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