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. Author manuscript; available in PMC: 2021 Apr 30.
Published in final edited form as: HGG Adv. 2021 Jan 5;2(2):100019. doi: 10.1016/j.xhgg.2020.100019

Table 1.

Mean cross-validated gene expression prediction performance of machine learning models in MESA populations

Population EN RF SVR KNN
AFA 0.0528 0.0041 0.0120 −0.0086
HIS 0.0479 0.0156 0.0289 0.0001
CAU 0.0596 0.0283 0.0437 0.0094
ALL 0.0733 0.0409 0.0476 0.0103

Elastic net (EN) had higher mean performance than each of the other machine learning models across the MESA populations (all paired t test p values < 4 × 10−19). AFA, MESA African American; CAU, MESA European American; HIS, MESA Hispanic American; ALL, all MESA; RF, random forest; SVR, support vector regression; KNN, K nearest neighbor.