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