Paper ID: 2111.12795

Picasso: Model-free Feature Visualization

Binh Vu, Igor Markov

Today, Machine Learning (ML) applications can have access to tens of thousands of features. With such feature sets, efficiently browsing and curating subsets of most relevant features is a challenge. In this paper, we present a novel approach to visualize up to several thousands of features in a single image. The image not only shows information on individual features, but also expresses feature interactions via the relative positioning of features.

Submitted: Nov 24, 2021