TRAINING A NETWORK TRAFFIC CLASSIFIER USING TRAINING DATA ENRICHED WITH CONTEXTUAL BAG INFORMATION

In one embodiment, a device groups feature vectors representing network traffic flows into bags. The device forms a bag representation of a particular one of the bags by aggregating the feature vectors in the particular bag. The device extends one or more feature vectors in the particular bag with the bag representation. The extended one or more feature vectors are positive examples of a classification label for the network traffic. The device trains a network traffic classifier using training data that comprises the one or more feature vectors extended with the bag representation.