INFO-005Comparisontrack →A dataset has 20,000 rare words across 5,000 rows. Choose sparse bag-of-words or dense embeddings and justify your choice for a small classifier.
prerequisite: MATH-005
Context fixture{
"vocab": 20000,
"rows": 5000,
"denseDim": 64
}
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