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Table 2 Comparing model AUC with and without gene expression data

From: Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data

Number of causal genes

LR

Radial SVM

Linear SVM

Without gene exp.

With gene exp.

Without gene exp.

With gene exp.

Without gene exp.

With gene exp.

1

0.775

0.772

0.764

0.764

0.767

0.772

5

0.772

0.773

0.755

0.760

0.759

0.770

10

0.785

0.778

0.739

0.755

0.776

0.770

  1. Model AUC is reported in the table for SIMPHEN.197, k = 0 (when expression data was included) and m = 5. The table shows that the inclusion of gene expression data had little-to-no impact on the AUC in this data set