Overfit

In this blog, we present the results of some preliminary experiments with training highly “overfit” (interpolated) models to identify malicious activity based on behavioral data. These experiments were inspired by an expanding literature that questions the traditional approach to machine learning, which has sought to avoid overfitting in order to encourage model … [Read more...] about How We Trained Overfit Models to Identify Malicious Activity