Modfied version of SMOTE

随着数据的大量出现，非平衡问题显得尤为突出，该算法能很好的解决非平衡分类问题(imbanlanced classification)

数据预处理,对于分类前的文件进行预处理。查看数据的类型。进行smote(data pre-processing.For pre-classification documents pretreatment. Check the type of data. and using smote to Solve the problem of data imbalance)

smote算法，在matlab下的实现，以function的形式，可直接调用(The smote algorithm, implemented under Matlab, can be called directly in the form of function)

通过合成小类样本，使小类的样本数与大类的样本数相同，这样类不平衡的问题就解决了，在小类上的分类准确率提高(By synthesizing small class samples, the sample number of the small class is the same as the number of the large class, so the problem of unbalance is solved, and the classification accuracy on the