Cross-Validation & Honest Evaluation

Day 16 of 100 Days of MLOps. A single train/test split can be lucky or unlucky — so its score can lie. Cross-validation trains and tests across several splits and averages the result, giving you a trustworthy estimate of real performance, a read on stability, and a clear signal of overfitting. The honest way to compare models. Runs 100% locally on any OS.