Published November 18, 2021 | Version v1

Supporting Dataset For Paper: "Ranks underlie outcome of combining classifiers: quantitative roles for Diversity and Accuracy"

  • 1. Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital; Division of Sleep Medicine, Department of Medicine, Harvard Medical School
  • 2. School of Medicine, University of California San Francisco
  • 3. John A. Burns School of Medicine, University of Hawaii at Mānoa
  • 4. University of Hawaii Cancer Center, University of Hawaii at Mānoa
  • 5. Department of Computer and Information Science, Fordham University

Description

This zipfile contains the DXA/MRI dataset used in the publication: "Ranks
underlie outcome of combining classifiers: quantitative roles for Diversity and
Accuracy".

To be updated with publication citation/DOI when provided.

Files

DXA_MRI_Data.zip

Files (267.9 kB)

Name Size Download all
md5:9c92c46439e23e43731a999f71cb5ae6
267.9 kB Preview Download