Highest Prior Density Estimation for Diagnosing Black Box Performance — Part 1

How to search numeric features for poor accuracy

Model explainability is an area of machine learning that has increased in popularity over the last several years. Greater understanding leads to greater trust by stakeholders and improved generalizability. But how can you peek into the black box?

Figure 1: example of a 50% highest density region (HDR) in blue. Image by author — src.

In a prior post, we covered IBM’s solution called FreaAI. In one technical sentence, …

black box data science deep learning explainability machine learning part performance prior