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Parallel Lines

Classification Model Evaluation with SHAP Analysis

The project focuses on the application of machine learning to the analysis of medical data, specifically to identify patterns in patients that may indicate immunodeficiencies. This involves the use of classification algorithms that, based on patient data, detect relevant symptoms and warning signs. It is a key tool to support medical decision-making in this specialized field.

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