An unpruned maximal CART classifier repeatedly cuts with vertical or horizontal lines until every terminal rectangle is pure or contains observations that cannot be separated by an axis-aligned split. Here the distinct grid points can be isolated into pure rectangles, producing a step-shaped, axis-aligned decision boundary and zero training error.
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