[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fq4GpP4wubq4JuLed2AewGZtf2WzaIV5f-yoZbWSmzGY":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2023-06-28 16:09:40",87010992,[8,9,10,11],"算法","数据","任务需求","以上选项都是",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},24,"0e35c9ed9f3d40392a28d57ffa6444fb","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0d27132e8e4c25614916fe2373258c2e.jpg","机器学习算法与应用","731051b191d04648a78dff6564a26ae8","第二章 模型评估与选择",""好"模型取决于下列哪些因素?( )",[21,32,41,50,59,68,77,85,94,103],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],87010983,[25,26,27,28],"错误率低","精度高","召回率高","上述指标都可以,但视具体任务和使用者需求而异","下面哪一项可以作为模型好的标准?( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],87010984,[36,37,38,39],"泛化能力","建模能力","学习能力","拟合能力","我们希望模型在未见样本上表现好,这一能力通常被称作模型的什么能力?( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],87010985,[45,46,47,48],"泛化误差","经验误差","学习误差","训练误差","模型在"未来"样本上的误差被称作( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],87010986,[54,55,56,57],"欠拟合","过拟合","欠配","以上三个选项均不是","有的情况下,模型学习到了训练数据满足的特有性质,但这些性质不是一般规律,这种现象被称之为( )",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],87010987,[63,64,65,66],"评估方法","性能度量","比较检验","以上三个选项都是关键问题","模型选择有哪些关键问题?( )",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":30,"type":31},[],87010988,[72,73,74,75],"留出法","交叉验证法","自助法","以上三个选项都可以","下列什么方法可以用来获得从原始数据集中划分出"测试集"?( )",{"answer":78,"createTime":5,"id":79,"options":80,"question":84,"source":30,"type":31},[],87010989,[81,82,83,11],"需要保持训练集和测试集数据分布的一致性","只需要进行一次划分","测试集不能太大,不能太小","下面哪一项不是留出法的注意事项?( )",{"answer":86,"createTime":5,"id":87,"options":88,"question":93,"source":30,"type":31},[],87010990,[89,90,91,92],"训练集","测试集","验证集","以上选项都可以","调参以什么集合上的性能作为评价标准?( )",{"answer":95,"createTime":5,"id":96,"options":97,"question":102,"source":30,"type":31},[],87010991,[98,99,100,101],"多项式的次数是超参数","多项式的系数是超参数","多项式的次数必须通过数据去学习","以上说法都是正确的","当我们使用一个多项式函数去逼近数据集时,下面哪一个说法是正确的?( )",{"answer":104,"createTime":5,"id":6,"options":105,"question":19,"source":30,"type":31},[],[8,9,10,11]]