A classical machine learning model made of many decision trees, each trained on a random sample of the data. The trees vote, and the share of votes gives a probability of malware. This research used 100 trees.
See: Phase 1
A classical machine learning model made of many decision trees, each trained on a random sample of the data. The trees vote, and the share of votes gives a probability of malware. This research used 100 trees.
See: Phase 1