[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$flcBi3h6cf7Of9aC9qJjMjRXlnZVFtT-wmGH5UrvXIgs":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":13,"related":14,"source":18,"type":19},[],"2024-10-19 09:27:29",1006829465,[8,9],"对","错",{"courseImg":11,"courseName":12},"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fd7ea7086329261ddbccb0e9e00c955b1.jpg","[智慧共享课]人工智能引论","线性判别分析是在最大化类间方差和类内方差的比值( )",[15,20,25,35,41],{"answer":16,"createTime":5,"id":6,"options":17,"question":13,"source":18,"type":19},[],[8,9],"v2",3,{"answer":21,"createTime":5,"id":22,"options":23,"question":24,"source":18,"type":19},[],1006829614,[8,9],"线性判别分析是一种基于强化学习的降维方法( )",{"answer":26,"createTime":5,"id":27,"options":28,"question":33,"source":18,"type":34},[],1006829697,[29,30,31,32],"主成分分析(PCA)","线性判别分析(LDA)","随机森林","支持向量机(SVM)","在监督学习中,以下哪些方法可以用来进行特征降维?( )",1,{"answer":36,"createTime":5,"id":37,"options":38,"question":40,"source":18,"type":34},[],1006829698,[29,30,39,31],"决策树","在特征降维中,以下哪些方法可以提高模型的解释性?( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":45,"source":18,"type":19},[],1006829700,[8,9],"线性判别分析只能用于二分类问题中的特征降维.( )"]