A missing value is an empty cell in your data set. These missing values can be due to a data collection error or because the values are available.
Understanding why data is missing is important and you must consider investigating, especially if there is a high percentage of missing values in some influencers.
Smart Predict handles missing values automatically:
- Missing values are not excluded, they are replaced with a constant called Missing and then treated by the model as any other category.
- You can assess the influence of the missing values when you have built the model and debriefed the model output.