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Evaluating Machine Learning Performance: Understanding Precision and Recall

Posted by Paulo Shakarian on Jan 21, 2021 5:00:00 AM

Precision and recall are two of the widest-used measurements of performance in machine learning and are also very relevant to cybersecurity applications. 

In this video, we discuss the meaning of these two measurements and discuss their deeper relevance – especially with respect to security operations. 

We also fill you in on some tricks that vendors use to game those numbers in their marketing material and how to ask probing questions to understand what is really being communicated in a pitch. 

 

Evaluating Machine Learning Performance Understanding Precision and R

CYR3CON uses machine learning to predict and prioritize the latest cyber threats.  The SaaS-based solution enables CISO’s to better understand the threat landscape, gain knowledge about malicious hacker behavior, and identify emerging attacks against enterprises.

CYR3CON’s underlying algorithms are also the only offering validated through years of academic research, peer reviewed publication, and government backed grants.

Take the next step now and see how the real application of machine learning will help prevent breaches and improve your organization's overall risk posture. 

Topics: machine learning, Vulnerability Management