Neo4j’s new graph‑neural fraud detector hits a solid ROC AUC, but its default threshold flags every transaction as suspicious. The paper walks through the confusion matrix, real‑time constraints, and how tweaking thresholds can restore balance. Open‑source fans will love the dive into practical GNN tuning. Curious? Read on for the full breakdown. #Neo4j #GraphNeuralNetworks #FraudDetection #ROCcurve

🔗 https://aidailypost.com/news/neo4j-graph-neural-fraud-detector-shows-strong-roc-yet-labels-all

#statstab #455 {plotROC} Generate ROC Curve Charts for Print and Interactive Use

Thoughts: I dislike ROC curves, just check out the way you show uncertainty on them.

#roc #auc #roccurve #specificity #sensitivity #signaldetection #sdt
#ggplot #r

https://sachsmc.github.io/plotROC/articles/examples.html

#statstab #397 How and Why I Switched from the ROC Curve to the Precision-Recall Curve to Analyze My Imbalanced Models

Thoughts: Can the eyewitness peeps explain how they correct for stimuli imbalance? 🤔

#roc #roccurve #precisionaccuracy #auc

https://juandelacalle.medium.com/how-and-why-i-switched-from-the-roc-curve-to-the-precision-recall-curve-to-analyze-my-imbalanced-6171da91c6b8