<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Mayank Alok</title><description>Notes on evaluating AI systems that actually work — agent evals, data quality, and the architecture around them.</description><link>https://mayankalok.dev/</link><item><title>Measuring success of a model - practical case of anomaly detection on financial data</title><link>https://mayankalok.dev/blog/roc-auc-hides-precision/</link><guid isPermaLink="true">https://mayankalok.dev/blog/roc-auc-hides-precision/</guid><description>Why ROC AUC flatters rare-event detectors, and why the alert budget ended up mattering more than the model.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate></item></channel></rss>