ML 38: A Missing Value Is Information, Until the Process Behind It Changes
Disclosure: this post was written with the assistance of an AI system (Claude), which wrote the analysis code, ran the experiments and drafted the text. The topic, the constraints, the data choices and the final review are the author’s. The breast-cancer data with 30% of cells removed three ways. At random, the imputation that recovered the values best (iterative, error 0.44 sd) gave the best model, log loss 0.091 against 0....