Trees are the atom of the ensembles that dominate tabular ML, so interviewers check you can explain how a split is chosen and how a single tree overfits. The Gini-vs-entropy part is a trap: candidates over-weight a choice that barely matters. Here is the answer.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
Trees are the atom of the ensembles that dominate tabular ML, so interviewers check you can explain how a split is chosen and how a single tree overfits. The Gini-vs-entropy part is a trap: candidates over-weight a choice that barely matters. Here is the answer.
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