Similarity-first interpretability studio for breast tumor samples: pick a case, find its closest “twins” (benign/malignant look-alikes), visualize neighborhood structure, compare feature fingerprints, and run minimal-change counterfactual edits toward a target class. Educational demo only, not for diagnosis.
python machine-learning exploratory-data-analysis plotly data-visualization classification nearest-neighbors knn kaggle-dataset interpretability breast-cancer similarity-search case-based-reasoning explainable-ai streamlit feature-attribution counterfactuals healthcare-analytics medical-ml educational-demo
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Updated
Dec 21, 2025 - Python