Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - time-series-forecasting # 这是让系统识别为时间序列任务的关键 | |
| tags: # 自定义标签 | |
| - time-series | |
| - forecasting | |
| - benchmark | |
| This repository contains the extracted time series features (tsfeatures) for each variate and the detailed forecasting results for every experiment. | |
| **Note**: These files are for building leaderboard and visualization; users do not need to download this directory. | |
| * `features/`: **Statistical Features (tsfeatures)** | |
| Each dataset's features are saved to: `output/features/{dataset}/{freq}/`. | |
| This directory stores the computed tsfeatures for the variates in the dataset. The folder contains a CSV file named either: | |
| * `test.csv`: Features calculated on the **test split**. | |
| * `full.csv`: Features calculated on the **full dataset**. | |
| * `results/`: **Experimental Results** | |
| Each experiment is saved to: `output/results/{model}/{dataset}/{freq}/{horizon}/`. | |
| Each directory represents a specific model-dataset-frequency-horizon combination and contains the following files: | |
| * `config.json`: The experiment settings and hyperparameters. | |
| * `metrics.npz`: Window-level forecasting metrics (e.g., MASE, CRPS). | |
| * `predictions.npz`: Quantile prediction results for each sliding window. | |