We hosted a webinar in collaboration with Patinformatics LLC around how we can test ML (machine learning) for its accuracy in classifying patents.
The webinar stemmed from an article published by Cipher in World Patent Information, Construction and Evaluation of Gold Standards.
It aims to provide an objective and reliable way for both developers and users of patent classification software to better understand and test the accuracy of automated patent technology mapping.
We were joined by the Managing Director at Patinformatics LLC, Tony Trippe, and our very own CTO, Steve Harris, who spoke about the Gold Standard for measuring the accuracy of machine learning and AI.
- How a Gold Standard helps test the accuracy of machine learning
- The approach to building a Gold Standard that can be trusted
- Testing Cipher against the Gold Standard
Webinar recording and handouts