metadata
license: mit
tags:
- pectin
- chemical-engineering
- machine-learning
- regression
Random Forest - Pectin Production Model
Random Forest model for robust pectin quality prediction
Usage
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