Graham McIntire
8f4f491a5e
The ML model undervalues conditions outside Aug/Sep training data (e.g. April with excellent factors scored 37/100). Algorithm's physics-based factors handle unseen seasons correctly. - Algorithm is primary scorer, ML infrastructure kept for iteration - Remove unused ML grid worker code path - Add client-side propagation reach: BFS flood-fill from clicked point through contiguous cells with score >= 50, drawn as convex hull polygon |
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