Real-TSF/TIME-Output

Dataset

0

stars

51

commits

1

linked in READMEs

Aug 28, 2026

updated

benchmark
forecasting
time-series

README

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.

Contributors

zqiao11

31 commits

YunshiWen

4 commits

Twinkles01

3 commits

Real-TSF/TIME-Output

Dataset

0

stars

51

commits

1

linked in READMEs

Aug 28, 2026

updated

benchmark
forecasting
time-series

README

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.

Contributors

zqiao11

31 commits

YunshiWen

4 commits

Twinkles01

3 commits