Fig. 4

Machine learning screening. (A) Lasso regression coefficient path plot. (B) Cross-validation error plot. The two dashed lines represent lambda.min(left), the value of lambda that minimizes the cross-validated error, and lambda.1se(right), the largest lambda within one standard error of lambda.min, providing a simpler model. (C) The choice of the number of mtry and ntree. The red line shows the error rate for the negative class, the green line for the positive class, and the black line for the out-of-bag error. (D) Variable importance plot for the RF model (top 10)