Missing features for classifier
A good answer to this question has to rely on the specific dataset / domain.

The questions I would ask myself are (in this order):


Can I solve my classification task without those features? → Just remove those features
Do I know of a relationship between features I know and the (partially) missing feature? → Find hard rules to fill those missing ones
Otherwise: Train a classifier / regression model to fill those missing features