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@@ -75,7 +75,6 @@ The model uses a two-branch preprocessing pipeline followed by a Random Forest c
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  ## Technical Details
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  ### File Information
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- - **Download Modal**: https://huggingface.co/alokpandey/MF3Classifier/resolve/main/fund_predictor_model_20241103_230654.joblib
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  - **Model Type**: Scikit-learn Pipeline
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  - **Last Updated**: November 3, 2024
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  - Handles unknown categories in categorical features gracefully
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  - Uses standard scaling for numerical features
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  - Designed for production use with joblib serialization
 
 
 
 
 
 
 
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  ## Technical Details
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  ### File Information
 
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  - **Model Type**: Scikit-learn Pipeline
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  - **Last Updated**: November 3, 2024
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  - Handles unknown categories in categorical features gracefully
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  - Uses standard scaling for numerical features
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  - Designed for production use with joblib serialization
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+ ## Download Modal
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+ To download the pre-trained **MF3Classifier** model, use the link below:
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+ [**Download MF3Classifier Model**](https://huggingface.co/alokpandey/MF3Classifier/resolve/main/fund_predictor_model_20241103_230654.joblib)