[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fbw3H0p6n_VooTqZj4xBPBbxg7oRAdBGM4fcHTnrC2zY":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":16,"related":17,"source":27,"type":34},[],"2024-05-09 08:50:33",986807288,[8,9],"对","错",{"courseId":11,"courseImg":12,"courseName":13,"workId":14,"workName":15},"1000076607","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fd7ea7086329261ddbccb0e9e00c955b1.jpg","[智慧共享课]人工智能引论","57250180","第四章单元测试","线性判别分析是在最大化类间方差和类内方差的比值( )",[18,29,35,44,55],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],986807096,[22,23,24,25],"被第t轮训练的弱分类器错误分类","被第t轮后的集成分类器(强分类器)错误分类","被到第t轮为止训练的大多数弱分类器错误分类","其他选项都正确","在Adaboosting的迭代中,从第t轮到第t+1轮,某个被错误分类样本的惩罚被增加了,可能因为该样本( )","v2",0,{"answer":30,"createTime":5,"id":31,"options":32,"question":33,"source":27,"type":34},[],986807121,[8,9],"无监督学习需要使用到数据的人工标签( )",3,{"answer":36,"createTime":5,"id":37,"options":38,"question":43,"source":27,"type":28},[],986807143,[39,40,41,42],"聚类","决策树","线性回归","朴素贝叶斯","以下哪种方法不属于监督学习方法( )",{"answer":45,"createTime":5,"id":46,"options":47,"question":54,"source":27,"type":28},[],986807235,[48,49,50,51,52,53],"3","6","12","24","48","72","在一个监督学习任务中,每个数据样本有4个属性和一个类别标签,每种属性分别有3、2、2和2种可能的取值,类别标签有3种不同的取值.请问可能有多少种不同的样本?(注意,并不是在某个数据集中最多有多少种不同的样本,而是考虑所有可能的样本)( )",{"answer":56,"createTime":5,"id":6,"options":57,"question":16,"source":27,"type":34},[],[8,9]]