Change one hyperparameter at a time for the best model and record results; write the search space.
Concepts: Hyperparameters per model; sensible ranges; one-at-a-time intuition
Project A: Tune C for logistic and depth/learning_rate for CatBoost.
Project B: Tune num_leaves, learning_rate, min_child_samples for LightGBM.
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