中文说明：
采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。提示：可以用6位的0/1进行编码，适应度函数可以考虑类似 。
English Description：
In this paper, genetic algorithm is used to select the six features of height, weight, like mathematics, like literature, like sports, like pattern recognition in the sample data of male and female students. Based on the best features, SVM is used to design the classifier of male and female students, and the prediction performance of the model (including se, SP, ACC and AUC) is calculated. Hint: it can be coded with 0 / 1 of 6 bits, and the fitness function can be considered to be similar.