mahmoudewida/decision-trees-cart-checked-against-scikit-learn

This is a small educational CART walkthrough, not a deployed service. Running scaffold.py drives four stages: hand-built classification checked against scikit-learn, classification experiments on moons, regression-tree evaluation, and an Iris model save/reload followed by species prediction. model.py contains both the hand-built algorithm and scikit-learn-backed helpers. The graph follows documented calls and sampled source; external libraries and datasets are shown only where their use is explicit.