Stock Market Prediction On Astock
Métriques
Accuray
F1-score
Precision
Recall
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuray | F1-score | Precision | Recall |
|---|---|---|---|---|
| astock-a-new-dataset-and-automated-stock | 66.89 | 66.92 | 66.92 | 66.95 |
| stock-movement-prediction-from-tweets-and | 46.72 | 44.44 | 47.65 | 46.68 |
| finreport-explainable-stock-earnings | 69.48 | 69.28 | 69.54 | 69.41 |
| roberta-a-robustly-optimized-bert-pretraining | 62.49 | 62.54 | 62.59 | 62.51 |
| skep-sentiment-knowledge-enhanced-pre | 60.66 | 60.66 | 61.85 | 60.59 |
| finreport-explainable-stock-earnings | 66.10 | 66.01 | 66.04 | 66.09 |
| pert-pre-training-bert-with-permuted-language | 67.37 | 67.27 | 67.28 | 67.73 |
| finreport-explainable-stock-earnings | 73.12 | 72.97 | 73.04 | 72.96 |
| roberta-a-robustly-optimized-bert-pretraining | 61.34 | 61.48 | 61.97 | 61.32 |
| revisiting-pre-trained-models-for-chinese | 61.14 | 61.19 | 61.60 | 61.09 |
| listening-to-chaotic-whispers-a-deep-learning | 57.35 | 56.61 | 58.41 | 57.20 |
| bert-pre-training-of-deep-bidirectional | 59.11 | 58.99 | 59.07 | 59.20 |
| pert-pre-training-bert-with-permuted-language | 65.09 | 65.03 | 65.02 | 65.07 |
| lert-a-linguistically-motivated-pre-trained | 64.37 | 64.30 | 64.34 | 64.31 |
| lert-a-linguistically-motivated-pre-trained | 66.36 | 66.16 | 66.40 | 66.69 |
| finreport-explainable-stock-earnings | 63.74 | 63.66 | 63.67 | 63.71 |
| finreport-explainable-stock-earnings | 75.40 | 75.12 | 75.42 | 75.23 |