chc_cape_accuracy_GB_2025-10-21
datastore ActiveCHC CAPE model accuracy metrics for Burkina Faso using Gradient Boosting algorithm. Contains MAE, RMSE, RRMSE, MAPE, and R² metrics for maize and millet yield predictions at admin level 1.
Data Dictionary
Additional Information
| Field | Value |
|---|---|
| Data last updated | November 6, 2025 |
| Metadata last updated | November 6, 2025 |
| Created | November 6, 2025 |
| Format | CSV |
| License | Creative Commons Attribution |
| Ckan url | https://data.harvestportal.org |
| Datastore active | True |
| Datastore contains all records of source file | True |
| Extra resource meta | {"output_type": "accuracy", "date_model_run": "2025-01-25", "forecast_issue_date": "2025-10-21", "continent": "africa", "admin": "admin_1", "country": "Burkina Faso", "model_algorithm": "Gradient Boosting", "crops": "Maize, Millet", "metrics": "MAE, RMSE, RRMSE, MAPE, R\u00b2", "validation_period": "1984-2022", "source": "UCSB-Climate Hazards Center"} |
| Has views | True |
| Hash | cb8937adcbbca3ab95a250060f54f0d4 |
| Id | 182c3810-9ac6-47dd-a2bf-f25a2e4cc726 |
| Ignore hash | False |
| Mimetype | text/csv |
| Original url | https://data.harvestportal.org/dataset/763b3b58-6a10-4d66-90c8-dcad46e0654e/resource/182c3810-9ac6-47dd-a2bf-f25a2e4cc726/download/chc_cape_accuracy_gb_2025-10-21.csv |
| Package id | 763b3b58-6a10-4d66-90c8-dcad46e0654e |
| Position | 0 |
| Resource id | 182c3810-9ac6-47dd-a2bf-f25a2e4cc726 |
| Set url type | False |
| Size | 16.5 KiB |
| State | active |
| Task created | 2025-11-06 15:53:22.281493 |
| Url type | upload |