GitHub / deliprofesor / Income-Analytics-Interpretable-Machine-Learning-Model

This project predicts whether an individual earns more than 50K using the Adult Income dataset. A Random Forest model is trained and evaluated, with explanations provided through DALEX and LIME for feature importance and model transparency.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deliprofesor%2FIncome-Analytics-Interpretable-Machine-Learning-Model

Topics: classification, dalex, data-preprocessing, data-science, data-visualization, feature-engineering, income-prediction, lime, machine-learning, model-explainability, predictive-modeling, r-programming, random-forest

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• Readme
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