在Python中创建一个程序来分类给定的数据集
以下是一个 Python 的样本程序,可以用来分类给定数据集: ```python from sklearn import tree from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score # sample dataset # features: [高度,重量,鞋子尺寸] X = [[181,80,44], [177,70,43], [160,60,38], [154,54,37], [166,65,40], [190,47,90], [175,64,39], [177,70,40], [159,55,37], [171,75,42], [181,85,43]] #predicts labels: 0 for female, 1 for male = [1,1,0,0,1,0,1,0,1,1,1,1,1,1]; 最后分类数据集成训练测试分类器: Xtrafit, ytest, ytest, ytest, ytest, ytest = xtraf, ytest = xtraf. 测试组的准确度和准确度是根据训练树的分类数量,然后使用测试组的测试方法来确定分类的准确度和准确度. #xtraf, ytest = y_test, ytest = xtraf.