Time Series Forecasting On Pemsd7
评估指标
9 steps MAE
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 9 steps MAE | Paper Title | Repository |
|---|---|---|---|
| Auto-Regressive Integrated Moving Average | 6.27 | - | - |
| Linear Support Victor Regression | 4.54 | - | - |
| Feed-Forward Neural Network | 5.04 | - | - |
| STGCN(1st) | 3.79 | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | |
| FC-LSTM | 4.16 | Sequence to Sequence Learning with Neural Networks | |
| STGCN(Cheb) | 3.57 | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | |
| STGCN-Cov | 3.51 | Conditional Temporal Neural Processes with Covariance Loss | - |
0 of 7 row(s) selected.