决策树分类模型iris_dtree.py
# coding=utf-8 fromsklearnimportdatasetsfromsklearn.metricsimportconfusion _ matrix， accuracy _ scorefromsklearn.model _ selectionimporttrain _ test _ splitfromsklearnimportpreprocessing #上的光圈数据集iris_X iris _ y=datasets.load _ iris (return _ x _ y=true )数据预处理：按列规范化的iris_x=preprocessing.scale ) iris_x test_size=0.3， random_state=0) #决策树分类模型fromsklearnimporttreemodel=tree.decisiontreeclassifier (#模型训练模型. fit ) iris _ x 模型预测iris _ y _ pred=model.predict (iris _ x _ test )模型评估#模糊矩阵print ) confusion _ matrix iris