CoolFace
Datasetpublic

Real-TSF/TIME-Output

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… See the full description on the dataset page: https://huggingface.co/datasets/Real-TSF/TIME-Output.

sourceHugging Faceapache-2.0updated 6d agoView on Hugging Face
0likes2kdownloads
Dataset Card

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.