Balancing processing method, device and equipment for binary-classification unbalanced data set and medium

The invention discloses a balance processing method, device, equipment and medium for a dichotomy imbalance data set, and relates to the technical field of data processing, and the method comprises the steps: obtaining a data set with a dichotomy imbalance problem in an industrial production activity, and carrying out the data point division and abnormal point screening of the data set; the method comprises the following steps: combining a single-sided selection undersampling method with a Borderline SMOTE oversampling method, constructing a single-sided selection undersampling-Borderline SMOTE mixed sampling algorithm model, and training and testing the single-sided selection undersampling-Borderline SMOTE mixed sampling algorithm model; and carrying out balance processing on the dichotomy imbalance problem in the to-be-processed data set by using the target single-sided selection undersampling-Borderline SMOTE mixed sampling algorithm model. According to the method and the device, the accuracy and the quali