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emperor-mew/voidly-forecast-v1-7day
voidly-forecast-v1-7day is a tabular classification model from emperor-mew. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for xgboost. The card lists the license as cc-by-4.0.
Version: v1.1 | Trained: 2026-05-21T04:20:38Z | License: CC BY 4.0
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Updated May 22, 2026
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From the Hugging Face model README
Version: v1.1 | Trained: 2026-05-21T04:20:38Z | License: CC BY 4.0
XGBoost + isotonic-calibration forecast for 7-day censorship risk.
Retrained 2026-05-21 after IODA disruption labels were excluded from
target_7day — earlier model had been promoting raw IODA outages (94% of April incidents) as confirmed censorship.
| Metric | Value |
|---|---|
roc_auc | 0.9541 |
f1 | 0.6667 |
precision | 0.7255 |
recall | 0.6167 |
optimal_threshold | 0.2700 |
positive_rate | 0.0920 |
samples | 2148 |
Dual-holdout gate accepted (legacy holdout +18pp, temporal holdout +58pp).
python3 scripts/build-forecast-features.py # excludes incident_type='disruption'
python3 scripts/test-forecast-labels-sane.py # weekly regression gate
@misc{voidly_voidly_forecast_v1_7day,
title = {Voidly Atlas: voidly-forecast-v1-7day (v1.1)},
author = {Voidly},
year = {2026},
url = {https://huggingface.co/emperor-mew/voidly-forecast-v1-7day},
note = {Open censorship-research ML stack. CC BY 4.0.}
}