metadata
license: apache-2.0
Crop Recommendation Random Forest Model
This repository contains a trained Random Forest classifier for crop recommendation based on soil and weather features:
- Input features: N, P, K, Temperature, Humidity, pH, Rainfall
- Output: Recommended crop label
The model is trained with scikit-learn and saved as a pickle (.pkl) file.
Usage
Use the Hugging Face Inference API or download the model to integrate with your application.
Model Details
- Model Type: RandomForestClassifier (scikit-learn)
- Dataset: Crop dataset with 2200 samples and 8 features
- Evaluation metrics: Accuracy, etc. (see original training notebook)
License
Specify the license if applicable.