1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Trinary Tools for Continuously Valued Binary Classifiers
Michael Gleicher, Xinyi Yu, Yuheng Chen
Classification methods for binary (yes/no) tasks often produce a continuously valued score. Machine learning practitioners must perform model selection, calibration, discretization…
cs.HC2020
Boxer: Interactive Comparison of Classifier Results
Michael Gleicher, Aditya Barve, Xinyi Yu +1
Machine learning practitioners often compare the results of different classifiers to help select, diagnose and tune models. We present Boxer, a system to enable such comparison. Ou…