1 code implementation • 1 Sep 2023 • Ian Krupkin, Johanna Hardin
We show that in the classification case, Random Forests' estimates of prediction error is closer on average to the true error rate instead of the average prediction error.
1 code implementation • 16 Dec 2019 • Benjamin Lu, Johanna Hardin
We introduce a unified framework for random forest prediction error estimation based on a novel estimator of the conditional prediction error distribution function.
no code implementations • 4 Sep 2016 • Ciaran Evans, Johanna Hardin, Daniel Stoebel
An under-emphasized feature of normalization is the assumptions upon which the methods rely and how the validity of these assumptions can have a substantial impact on the performance of the methods.
Genomics
no code implementations • 10 Oct 2014 • Johanna Hardin, Ghassan Sarkis, P. C. Urc
We use the Enron email corpus to study relationships in a network by applying six different measures of centrality.
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