However, this could be a dilemma: which to remove? the missing data instances? Or the entire feature? The first option eliminates a number of instances that may be significant to the learning process, whereas the second option eliminates a feature that may be important to the learning process.
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Predicting 90-day prognosis for patients with stroke: a machine learning approach.
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