Numerical Model Feature Importance with SHAP

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For my Python-based project, I require a specialist to help me better understand the feature importance of my numerical data model using SHapley Additive exPlanations (SHAP). You will be assisting in interpreting and explaining the weighted influences of each feature, in an effort to optimize and improve my model.

Ideal Skills and Experience:

- Proficiency in Python programming

- Extensive experience in data science and machine learning model interpretation

- Hands-on working experience with SHAP for feature importance identification

- Strong understanding of numerical data modeling and analysis techniques

Your task will entail meticulously examining the model, successfully determining critical feature importance, and supplying a concise, clear explanation of findings. Your insightful analysis will serve as the basis for future model improvements.

The image attached shows the results with LIME. I need a similar with SHAP.

Python Machine Learning (ML) Matlab and Mathematica Statistiques Mathématiques

Nº du projet : #37818882

À propos du projet

21 propositions Projet à distance Actif il y a 2 semaines

21 freelances font une offre moyenne de 130 $ pour ce travail

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ashrafsbai6655

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