dataMining-project:Bagging、Boosting 和随机森林的使用

上传者: 42126274 | 上传时间: 2022-05-26 17:36:11 | 文件大小: 1.55MB | 文件类型: ZIP
状态 您必须以 zip 格式呈现存档,以您的名字和姓氏命名(对于成对,两个名字和两个名字),其中包含: 带有决策树的 Bagging 方法的学习和测试功能的来源 带有决策树的 Adaboost.M1 方法的学习和测试功能的来源 Forest-RI 方法的学习和测试功能的来源 一个或多个允许运行所有这些函数的测试的函数(如为 TP3 提供的 test_tree.m 和 test_forest.m 文件) 对您的代码进行大量注释,以逐步解释它的作用。 渲染 每个方法都位于一个文件夹中。 可以使用训练、测试和预测文件以及启动程序的主文件。 对于每种方法,都可以修改主文件中使用的数据集(更改fileName变量)。 装袋(1.SetClassifier(装袋)) 启动main.m以启动 Bagging。 提升(2.SetClassifier(提升)) 开始adaboostMain.m的Ad

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