中文说明：Binarry classifier based on "Self-advising support vectore machine, Yashar Maali, Adel Al-Jumaily,Knowledge-Based Systems 52 (2013) 214–222" Traindata是预测变量数据的数字矩阵。 traindata行对应观察; 列对应于特征。 Trainlabel是一个包含已知类的列向量 traindata的标签（1或0）。 trainlabel的每个元素指定组对应 traindata行属于traindata，trainlabel必须具有相同的行数。 Testdata是预测变量数据的数字矩阵。 测试数据行对应于观察; 列对应于features.Testlabel是一个包含已知类的列向量 testdata的标签（1或0）。 testlabel的每个元素指定组对应 testdata所属的行。 testdata和testlabel必须具有相同的行数。
English Description：
Binary classifier based on & quot; self advising support vector machine, Yashar maali, Adel al jumaily, knowledge-based systems 52 (2013) 214 – 222 & quot; & nbsp; traindata is the digital matrix of predictive variable data. Traindata rows correspond to observations; columns correspond to features. Trainlabel is a label (1 or 0) that contains the column vector & nbsp; & nbsp; traindata of a known class. Each element of trainlabel specifies that the group corresponding to & nbsp; & nbsp; traindata row belongs to traindata, and trainlabel must have the same number of rows. &Nbsp & nbsp; testdata is a numeric matrix that predicts variable data. Test data rows correspond to observations; test data columns correspond to observations features.Testlabel Is a label (1 or 0) that contains the column vector of a known class & nbsp; & nbsp; testdata. Each element of testlabel specifies the row to which the group corresponds & nbsp; & nbsp; testdata. Testdata and testlabel must have the same number of rows.