Skip to main content

Table 5 Mean AUC and standard deviation of machine learning models using penalized logistic regression

From: miR-129-5p as a biomarker for pathology and cognitive decline in Alzheimer’s disease

Model

Training features

Mean AUC

Standard deviation of AUC

1

Age + sex + APOE ε4 carrier status

0.807

0.103

2

Five AD-associated hub miRNAs

0.740

0.068

3

Age + sex + APOE ε4 carrier status + five AD-associated hub miRNAs

0.870

0.061

4

All 309 miRNAs

0.815

0.052

5

Age + sex + APOE ε4 carrier status + all 309 miRNAs

0.867

0.057

  1. 10-fold cross validation was used to investigate and compare the classification performance of five different machine learning models for differentiating AD from NCI. The machine learning model, mean AUC, and standard deviation of the AUC are presented
  2. AD Alzheimer’s dementia, APOE apolipoprotein E, AUC area under the curve, miRNAs microRNAs, NCI no cognitive impairment