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Maguids / XAI-Techniques--Students-Dropout-Dataset

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This project applies Explainable AI techniques to a Student Dropout dataset, covering pre-, in- and post-modeling explanations, as well as an analysis of their quality. The project was developed for the "Adavnced Topics on Machine Learning" course. 1st Semester of the 1st Year of the Master's Degree in Artificial Intelligence.

prototype anchors xgboost pca mlp tsne decision-tree lime xai surrogate-models criticism shap pfi faithfulness
  • Updated Dec 16, 2025
  • Jupyter Notebook

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