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Dev.to
8/4/2026
Feature Engineering Trade-offs & Multi-Metric

Feature Engineering Trade-offs & Multi-Metric

Short summary

A short technical post on feature engineering trade-offs in an ML competition. Adding manual signal features improved Class 2 F1 but hurt other classes due to multicollinearity, dimensional mismatch, and outlier explosion. Fixes include log transformations, feature stacking with a binary sub-model, and Nelder-Mead optimization for multi-threshold post-processing.

  • •Manual features boosted Class 2 F1 but degraded overall leaderboard score
  • •Root causes: multicollinearity, dimensional mismatch, outlier explosion
  • •Fixes: log1p transforms, binary sub-model isolation, Nelder-Mead threshold optimization

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