Drift-aware retraining with OCSVM detection achieves accuracy within about 2 to 5 percent of periodic retraining while retraining roughly 60 to 70 percent fewer models, within the tested setup.
Ahmed, and Andreas Kassler
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Concept Drift Detection and Adaptive Retraining of Malware Classification Models
Drift-aware retraining with OCSVM detection achieves accuracy within about 2 to 5 percent of periodic retraining while retraining roughly 60 to 70 percent fewer models, within the tested setup.