Simple Weak Coresets for Non-decomposable Classification Measures
Jayesh Malaviya,
Anirban Dasgupta,
Rachit Chhaya
Abstract:While coresets have been growing in terms of their application, barring few exceptions, they have mostly been limited to unsupervised settings. We consider supervised classification problems, and non-decomposable evaluation measures in such settings. We show that stratified uniform sampling based coresets have excellent empirical performance that are backed by theoretical guarantees too. We focus on the F1 score and Matthews Correlation Coefficient, two widely used non-decomposable objective functions that are… Show more
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