feat(features): tree-based feature importance (MDI/MDA/SFI)#28
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Adds DecisionTree.jl and ports feature_importance_mdi (per-tree impurity), feature_importance_mda (permuted neg-log-loss over shuffled K-Fold), feature_importance_sfi (single-feature CV), and a native get_test_dataset. Behavioural (RF backend differs from scikit-learn); validated structurally (informative features outrank noise). Sample weights dropped (backend limitation). Clustered MDI/MDA follow.