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ML feature CSVs: eyeballing training exports before notebooks run

Spot constant columns, label leakage, and impossible ranges in flat files before sklearn or PyTorch.

Publicado em 21 de março de 2025 · Table

Human scan complements automated profiling: sort numeric features, search for sentinel strings like unknown, and verify label cardinality before training.

Red flags

  • Future-dated columns co-present with targets (leakage).
  • IDs that sort perfectly with labels (merge bugs).

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