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Iteration Methods for Crossvalidations (150 Patients with Pneumonia)

  • Ton J. Cleophas
  • Aeilko H. Zwinderman
Chapter
  • 78 Downloads

Abstract

In the Chap.  8 of this book validation of a decision tree model is performed splitting a data file into a training and a testing sample. This method performed pretty well with a sensitivity of 90–100% and an overall accuracy of 94%. However, measures of error of predictive models like the above one are based on residual methods, assuming a priori defined data distributions, particularly normal distributions. Machine learning data file may not meet such assumptions, and distribution free methods of validation, like crossvalidations may be more safe.

Supplementary material

333106_2_En_79_MOESM1_ESM.csv (3 kb)
decisiontree2 (CSV 2 kb)
333106_2_En_79_MOESM2_ESM.sav (4 kb)
decisiontree2 (SAV 3 kb)
333106_2_En_79_MOESM3_ESM.csv (3 kb)
decisiontree3 (CSV 2 kb)
333106_2_En_79_MOESM4_ESM.sav (4 kb)
decisiontree3 (SAV 3 kb)

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

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