Welcome to DivExplorer!

DivExplorer is a tool for analyzing datasets and finding subgroups of data where a classifier behaves differently than on the overall data. To start, please upload a discretized dataset with both the output of a binary classifier, and the (binary) ground truth.

DivExplorer is brought to you by Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca de Alfaro, and is described in the papers: