同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。-At the same time the height and weight data as features, Fisher with linear identifying method for classifier, will this classifier applied to training and test sample, to investigate the training and test error conditions. Will the training sample and values of the decision on the graph shows the boundary, and at the same time before the Bayes method with optimal classifier also paint chart, the similarities and differences of the comparison results.