Table 1. Estimates of classification performance obtained by repeated 10-fold cross-validation procedure.

Data used for the classifier	Classification performance (AUC)
{SNPs}	0.51
{Alc, Smk, Age, Pck}	0.60
{Fh}	0.66
{Fh, Alc, Smk, Age, Pck}	0.73
{SNPs}+{Alc, Smk, Age, Pck}	0.62
{SNPs}+{Fh}	0.64
{SNPs}+{Fh, Alc, Smk, Age, Pck}	0.73

The classification algorithm is Support Vector Machines (SVM). Only SNPs selected by Recursive Feature Elimination (RFE) are used. The following abbreviations are used for variable names: Age (age at interview), Smk (tobacco use), Alc (alcohol consumption), Fh (family history of esophageal cancer), and Pck (consumption of pickled vegetables). The “+” symbol in the Data column denotes that the analysis was performed by ensembling approach.