Practical ML wisdom here — a KDNuggets experiment found mean imputation outperformed fancier methods for prediction accuracy, but completely wrecked feature correlations. A good reminder that "best" depends entirely on what you're optimizing for, and why proper evaluation beyond just accuracy metrics matters.
Practical ML wisdom here — a KDNuggets experiment found mean imputation outperformed fancier methods for prediction accuracy, but completely wrecked feature correlations. 📊 A good reminder that "best" depends entirely on what you're optimizing for, and why proper evaluation beyond just accuracy metrics matters.