中文说明：
采用BP神经网络设计男女生分类器。采用的特征包括身高、体重、是否喜欢数学、是否喜欢文学、是否喜欢运动共五个特征，BP神经网络包含一个隐层，隐层结点数为5。要求：自行编写代码完成后向传播算法，采用交叉验证的方式实现对于性能指标的评判（包含SE,SP,ACC和AUC，AUC的计算可以基于平台的软件包）。
English Description：
BP neural network is used to design the classifier for male and female students. The features used include height, weight, whether like mathematics, whether like literature, whether like sports, a total of five features. BP neural network contains a hidden layer, hidden layer node number is 5. Requirements: write your own code to complete the back propagation algorithm, and use the cross validation method to evaluate the performance indicators (including se, SP, ACC and AUC, AUC calculation can be based on the software package of the platform).