Comparing Runs in the MLflow UI

Day 33 of 100 Days of MLOps. Logging runs is step one; using them to decide is where tracking pays off. Run a grid of experiments, then compare them — sort by any metric, filter, and read which settings actually drive performance — to confidently pick the champion model with its exact params. In the MLflow UI and in code. Runs 100% locally on any OS.