# Random Forest Bias Correction for CMIP6 Projections (Precipitation, Tmax, Tmin) – NW Ethiopia
**Authors**: Abebaw Tadele Alem et al.
**Corresponding**: tadeleabebaw32@gmail.com
## Methods
- Quantile Mapping, QDM, DetQM, **Random Forest (with hyperparameter tuning + 5-fold CV)**
## How to Use
1. `pip install -r requirements.txt`
2. Run `01_reshape_data.py` → `02_fill_missing_dates.py` → `03_bias_correction.py`
## Output
- `RF_Corrected_Precipitation.csv`
- `RF_Corrected_Tmax.csv`
- `RF_Corrected_Tmin.csv`