Figure 1. Model evaluation (F1-score) results based on the number of features across 6 models in training group and validation group. Abbreviation: GBDT: gradient boosting decision tree; KNN: k-nearest-neighbors; LR: logistic regression; RF: random forest; XGB: xgradient-boosting; SVM: support vector machine.