1. sklearn Chinese text classification（Naive Bayes, Logistic Regression, XGboost, lightGBM, SVM, KNN, Random Forest, Decision Tree, GBDT）to test the result of bio-text classification，the data i use（neg.txt, pos.txt） The results are as follows： Naive Bayes 0.9032786885245901 Logistic Regression 0.8737704918032787 SVM 0.8836065573770492 Xgboost 0.8442622950819673 LightGBM 0.8508196721311475 knn 0.6081967213114754 RFC 0.8721311475409836 DT 0.8 GBDT 0.8508196721311475 2. The method to optimize the above algorithm