站在前人的肩膀上
#opcode_n_TFIDF.py Test n-gram, n is from 1 to 6
#plot_n_gram_TFIDF.py use TPR FPR Accuracy Gmean to choose
#3-gram-TF.py 3-gram-TFIDF.py Select 50, 100, 150 features under TF and TFIDF respectively
#choose-feature.py Use the data set obtained above to select the optimal solution
#3-gram-classifier selection.py Draw their ROC curves with five classifiers: RF, GBDT, DT, KNN, and XGBoost respectively