India IN
climbing (+15.0pp)Follow the model’s 30-day path. Read the probability and uncertainty together.
30-day trajectory with 90% conformal band
model trajectory_v1mean P(shutdown by day)90% conformal bandpeak day
Peak day
66.1%
d14 · 2026-10-17
Floor day
2.3%
d3 · 2026-10-06
30-day delta
+15.0pp
d30 vs d1 probability
Drivers (SHAP top 3 from the 7-day model — same features feed all horizons)
day 120.2%
2026-10-04
- week_of_year-0.148
- block_rate_roll7_std-0.107
- block_rate_roll30_mean+0.081
day 712.3%
2026-10-10
- week_of_year-0.148
- block_rate_roll7_std-0.107
- block_rate_roll30_mean+0.081
day 1466.1%
2026-10-17
- week_of_year-0.148
- block_rate_roll7_std-0.107
- block_rate_roll30_mean+0.081
day 3035.3%
2026-11-02
- week_of_year-0.148
- block_rate_roll7_std-0.107
- block_rate_roll30_mean+0.081
Honest caveats
- Per-horizon XGBoost stacked into a trajectory — not a true joint distribution.
- Conformal bands are absolute-residual q90 from LOCO predictions on 18 eval countries.
- Long horizons (h>=14d) have wider effective uncertainty than the conformal q90 suggests; the same lag features feed all horizons.
- Bands floor at [0,1]; probabilities below 0.05 are at the model's noise floor.
- SHAP attribution above is from the 7-day point model. The trajectory uses 30 separate per-horizon XGBoost models that share the same feature set; we have not yet computed per-horizon SHAP.
Sample horizons
| Day | Date | P(shutdown) | 90% interval |
|---|---|---|---|
| d1 | 2026-10-04 | 20.2% | [0%, 64%] |
| d7 | 2026-10-10 | 12.3% | [0%, 77%] |
| d14 | 2026-10-17 | 66.1% | [0%, 100%] |
| d30 | 2026-11-02 | 35.3% | [0%, 100%] |
Spotlight countries
About this view
30-day day-by-day shutdown-risk trajectory. Each point is a per-horizon XGBoost prediction (h=1..30) with a 90% conformal band derived from absolute LOCO residuals. Peak risk highlighted.