Point Processes On Amazon Mtpp
Métriques
Accuracy (%)
MAE
OTD
T-mAP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (%) | MAE | OTD | T-mAP | Paper Title | Repository |
|---|---|---|---|---|---|---|
| IFTPP | 35.73 | 0.242 | 6.52 | 22.56 | HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? | |
| DeTPP | - | - | 5.98 | 37.18 | DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction | |
| RMTPP | 35.76 | 0.294 | 6.57 | 20.06 | HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? | |
| NHP | 11.06 | 0.449 | 9.02 | 26.29 | HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? |
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