https://varchaleswariganugapati.com/tags/validation/Recent content in Validation on Varchaleswari GanugapatiHugoen-usSat, 16 May 2026 09:00:00 -0600https://varchaleswariganugapati.com/post/score-parity-handshake/Sat, 16 May 2026 09:00:00 -0600https://varchaleswariganugapati.com/post/score-parity-handshake/<p><a href="https://gvarchala-pixel.github.io/post/cross-platform-model-bundling/">Part 1</a> ended with a retailer moving a purchase-prediction model from Python training into a Java serving service. The bundle was clean. The service loaded it. Scores came back.</p> <p>But here is the question that decides whether the project ships or stalls: are those scores actually right?</p> <p>The Python notebook says feature vector <code>v</code> scores <code>0.847</code>. The Java service, given the same <code>v</code>, returns <code>0.846989</code>. Close, but not identical. Should the team ship it? What if it returned <code>0.83</code>? Or <code>0.5</code>?</p>