Hugging Face's logo

ketto8
/
crop_pred_RandFor

RandomForestClassifier
Model card Files
xet
Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

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.

Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support