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Adult数据集 采用机器学习算法完成Adult数据集的收入预测任务 数据集:采用adult数据集,该数据从美国1994年人口普查数据库抽取而来, 可以用来预测居民收入是否超过50K$/year。该数据集类变量为年收入是否超过50k$, 属性变量包含年龄,工种,学历,职业,人种等重要信息,14个属性变量中有7个类别型变量。 文件夹中包含一张对数据集属性的说明。 实验要求:分别使用贝叶斯、集成分类器方法进行实验 分别计算其分类精度、误差等 比较两种方法写成WORD 上交代码和文档给助教 需提交的:1、贝叶斯、集成分类器方法代码 2、报告(word):内容要求包括问题分析、算法解析、实验分析等 提交时间:5月10日 23:59:59之前 助教评判:1、根据代码及保留的测试数据进行测验 2、查看报告 3、该次作业所有小组均需完成,请大家准备好PPT 4、每次作业情况均纳入平时成绩,请认真对待
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