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Results tagged with data-imputation
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user 153477
Refers to a general class of methods used to "fill in" missing data. Methods used for doing this typically are related to interpolation (http://en.wikipedia.org/wiki/Interpolation) and require assumptions about why the data is missing (e.g. "missing at random")
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How to handle missing information simultaneously in training and testing set?
From my experience, there are two options:
Discard instances where there are missing values (do this for both training and test set)
Impute the missing values with the mean value (taking the mean va …
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