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@@ -75,7 +75,7 @@ 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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- - **Model Path**: 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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@@ -100,8 +100,3 @@ The model uses a two-branch preprocessing pipeline followed by a Random Forest c
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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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-
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- ## Download Modal
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- ```
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- https://huggingface.co/alokpandey/MF3Classifier/resolve/main/fund_predictor_model_20241103_230654.joblib
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- ```
 
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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