Figure 2.

Machine Learning used pipeline: after feature extraction, a k-fold cross validation (with k=10) is performed 10 times, which includes missing data imputation, data standardization, feature selection, model training, classification and performance evaluation. The cross validation is performed 10 times. The final performance is the averaged from all runs.