Developed a fraud detection model using Python, XGBoost, and SMOTE on an imbalanced Kaggle dataset (284K+ records, 492 frauds). Achieved 95%+ recall by performing EDA, applying threshold tuning, and ...

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Research ML has spent a decade learning that stochastic outputs and undocumented environments make findings unverifiable. Enterprise LLM deployments are quietly making the same mistakes — and ...

Correspondence to Dr Alex Griffiths, London School of Economics and Political Science, Centre for Analysis of Risk and Regulation, London WC2A 2AE, UK; a.griffiths{at}lse.ac.uk Background The Care ...