Fig 1. The workflow of model construction and evaluation.

First, we randomly divided the whole data set into a training set and an independent test set. Then, the training set was further partitioned into 10 equally sized partitions to perform 10-fold cross validation. Based on the training set, the features were selected and the prediction model was built. At last, the constructed prediction model was tested on the independent test set.