Ignoring missing values from your dataset is an easier and correct approach than updating the dataset with mean / median values
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Ignoring missing values from your data set is an easier and correct approach than updating the data set with mean/median values because it helps in maintaining the accuracy of the fit to your algorithm.
Though this might end up in poor results if the percentage of missing values is high in your data set.
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