Numerical Model Feature Importance with SHAP

Closed Posted 1 month ago Paid on delivery
Closed Paid on delivery

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 Statistics Mathematics

Project ID: #37818882

About the project

21 proposals Remote project Active 2 weeks ago

21 freelancers are bidding on average $130 for this job

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