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Table 1 Model comparison for classifying traditional and updated age groups (bold: best results)

From: Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma

 

Ages 0–18, 19–70, 70+

Ages 0–22, 23–48, 48+

Ages 0–9, 10–26, 27–50, 50+

 

Mean

SD

Mean

SD

Mean

SD

Random Forest

0.792226

0.018431

0.709313

0.035924

0.580960

0.034479

Linear Discriminant

0.733046

0.028101

0.671703

0.031654

0.545130

0.031640

K Neighbors

0.738271

0.027061

0.603038

0.037627

0.473873

0.020474

Decision Tree

0.758096

0.012999

0.683384

0.031697

0.552452

0.033747

Gaussian Naive Bayes

0.225052

0.018959

0.500274

0.052508

0.358057

0.059829

C-Support Vector

0.718389

0.015940

0.561992

0.038804

0.445800

0.027187

Logistic Regression

0.750756

0.019220

0.665224

0.035580

0.549440

0.029133

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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