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---
license: mit
tags:
- pectin
- chemical-engineering
- machine-learning
- regression
---
# Random Forest - Pectin Production Model
Random Forest model for robust pectin quality prediction
## Usage
```python
from huggingface_hub import hf_hub_download
import joblib
model_path = hf_hub_download(
repo_id="arabovs-ai-lab/PectinProductionModels",
filename="random_forest/model.pkl",
repo_type="model"
)
model = joblib.load(model_path)
```
## Model Details
- **Type**: Random Forest
- **Training Data**: 1000 experimental records
- **Features**: 6
- **Targets**: 4
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