Build TracePoint in Python/Streamlit: upload/demo fraud data, EDA, Logistic Regression/Random Forest/Gradient Boosting, PR-AUC/ROC-AUC, threshold tuning, false-positive/false-negative costs, optimal expected-loss threshold, single/batch scoring, feature explanations, tests, and clear limitations.
☆48Oct 26, 2026Updated this week
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