1. A method for classifying incomplete data comprising: generating pairs of features and values based upon feature measurements on the incomplete data; applying a transformation function on the pairs of features and values to generate a set of vectors by mapping each of the pairs to a corresponding vector in an embedding space; applying, by a hardware processor, a prediction function to the set of vectors to generate at least one confidence assessment for at least one class that indicates whether the incomplete data is of the at least one class; and outputting the at least one confidence assessment.