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. 2019 May 19;2019:9570218. doi: 10.1155/2019/9570218

Table 1.

Important variables associated with OBW and OBWHO as identified by three algorithms.

Methods for the two obesity measures Top-ranked variables (in the order of relative importance) AUC of respective classification models
Obesity (OBW)
Lasso Insulin, CRP, fitness, adiponectin, leptin 0.787
MARS CRP, insulin, adiponectin, fitness, VEGF, leptin 0.837
Random forest CRP, insulin, leptin 0.826
Boosting classification trees CRP, insulin, adiponectin, leptin, fitness 0.816

Obesity (OBWHO)
Lasso Insulin, CRP, adiponectin, fitness 0.816
MARS CRP, insulin, adiponectin, sex, VEGF, fitness 0.853
Random forest CRP, insulin, adiponectin 0.833
Boosting classification trees CRP, insulin, adiponectin 0.822

Variables with relative importance scores ≥ 20%.