8.13 Summary

Missing values are common occurrences in data. Unfortunately, most predictive modeling techniques cannot handle any missing values. Therefore, this problem must be addressed prior to modeling. Missing data may occur due to random chance or due to a systematic cause. Understanding the nature of the missing values can help to guide the decision process about how best to remove or impute the data.