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When the data present lack of information (gaps), i.e., are not complete. Hence, it is important to consider this feature when performing an analysis or test.
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Is excluding cases with missing data fine for a predictive (not explanatory/descriptive) model?
The answer is - it depends.
The issue with missing data and leaving it out of your model completely is that it might affect the representativeness of your sampled data.
The kind of deletion you ar …