no code implementations • 28 Dec 2018 • Lili Zhang, Herman Ray, Jennifer Priestley, Soon Tan
Training classification models on imbalanced data tends to result in bias towards the majority class.
no code implementations • 12 Jun 2018 • Bob Vanderheyden, Jennifer Priestley
Predictive models that are developed in a regulated industry or a regulated application, like determination of credit worthiness, must be interpretable and rational (e. g., meaningful improvements in basic credit behavior must result in improved credit worthiness scores).
no code implementations • 10 Mar 2018 • Lili Zhang, Jennifer Priestley, Xuelei Ni
In bankruptcy prediction, the proportion of events is very low, which is often oversampled to eliminate this bias.