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2.3.5 Establishment and evaluation of tobacco pesticide residue detection model In this study, k-nearest neighbor (KNN), decision tree (DT), support vector machine (SVM), logistic regression (LR), random forest (RF), gradient boosting (GB), adaboost and extreme gradient boosting (XGboost) were chosen to construct models for pesticide residue detection

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