[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f0VElHzCWoP1U9EQ1zBYjPRs15SCh4KoZf_macTQWdJs":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":14,"question":20,"related":21,"source":31,"type":32},[],"2024-05-09 08:50:33",986807235,[8,9,10,11,12,13],"3","6","12","24","48","72",{"courseId":15,"courseImg":16,"courseName":17,"workId":18,"workName":19},"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","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)( )",[22,33,41,50,53],{"answer":23,"createTime":5,"id":24,"options":25,"question":30,"source":31,"type":32},[],986807096,[26,27,28,29],"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":34,"createTime":5,"id":35,"options":36,"question":39,"source":31,"type":40},[],986807121,[37,38],"对","错","无监督学习需要使用到数据的人工标签( )",3,{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":31,"type":32},[],986807143,[45,46,47,48],"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":51,"createTime":5,"id":6,"options":52,"question":20,"source":31,"type":32},[],[8,9,10,11,12,13],{"answer":54,"createTime":5,"id":55,"options":56,"question":57,"source":31,"type":40},[],986807288,[37,38],"线性判别分析是在最大化类间方差和类内方差的比值( )"]