Month: December 2020

Closing Remarks from 2020 and insights of our practice

Over the last two years, we have been working intensively to create a reliable ecosystem for developing AI projects. Our long-term objective is to become an incubator for AI projects, ensuring higher levels of success than the industry standards. In our consulting practice, we face each and every project with the following mindset: how can […]

Written by on Dec 30, 2020

Difficult Targets to Optimize: the ROC AUC

In many binary classification problems, especially in domains with highly unbalanced problems (such as the medical domain and rare event detection), we need to make sure our model does not become too biased for the more predominant class.  Thus, you may have heard that accuracy is not a good metric to validate classifiers in unbalanced […]

Written by on Dec 18, 2020