Random forest network traffic classification method and system, and storage medium

The invention belongs to the technical field of network traffic classification, and discloses a random forest network traffic classification method and system and a storage medium, and the random forest network traffic classification system comprises: a traffic capturing and collecting module which captures and stores network traffic; the data preprocessing module that preprocesses to-be-classified data, converges the data packets with the same IP quintuple information into a network flow, extracts the flow characteristic of each flow, and performs characteristic selection; the classification module that encapsulates and loads the trained classification model, and performs classification prediction on the to-be-classified data samples by using the selected classification model; and the display module that displays the classification result on the web page. The network traffic classification system can automatically capture and store network traffic data packets and process data. And then, an optimized random