[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fkEeu8FDodHaaLjXAtYz2UkmvWskWWvrVJzUgpyB-FHA":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2024-06-24 13:15:46",154910599,[8,9,10,11],"差额","损失误差","间隔","幅度",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},45,"6a400377cc1914ba248d8d79052bc2cb","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9c1e48361b00f3ee2086f4e259ed792b.jpg","统计分析与机器学习","work_35790454","第10章 支持向量机","‌在SVM中, margin的含义是 ( )",[21,32,41,50,59,68,77,80,89,99],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],154910586,[25,26,27,28],"将数据映射到核空间中","无法处理","在原空间中寻找非线性函数的划分数据","在原空间中寻找线性函数划分数据","‍对于在原空间中线性不可分问题,支持向量机 ( ) .‎","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],154910588,[36,37,38,39],"硬间隔有利于消除模型的过拟合","软间隔允许一定的样本分类错误","硬间隔要求所有数据分类完全准确,不允许出现错误","软间隔有利于获取更大的分类间隔","​关于支持向量机中硬间隔和软间隔的说法错误的是 ( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],154910590,[45,46,47,48],"线性核计算简单,可解释性强","高斯核计算简单,不容易过拟合","高斯核能够应对较为复杂的数据","多项式核需要多次特征转换","‍关于各类核函数的优缺点说法错误的是: ( ) .​",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],154910592,[54,55,56,57],"1","2","无数","不确定","‍如果一个样本空间线性可分,那么,我们能找到 ( ) 个平面来划分样本",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],154910595,[63,64,65,66],"不受数据集大小的影响","中数据集","大数据集","小数据集","‍SVM算法的最小时间复杂度是O(n^2).基于这一点,以下哪种规格的数据集并不适用于该算法? ( )",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":30,"type":31},[],154910597,[72,73,74,75],"是否确保间隔最大化","是否能处理线性不可分问题","是否进行了空间映射","训练误差通常较低","‎线性SVM和一般线性分类器的区别主要是: ( ) .‏",{"answer":78,"createTime":5,"id":6,"options":79,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],154910601,[84,85,86,87],"核函数的选择","核函数的参数","软间隔参数C","以上所有","‍SVM算法的性能取决于: ( )",{"answer":90,"createTime":91,"id":92,"options":93,"question":98,"source":30,"type":31},[],"2024-06-24 13:15:47",154910603,[94,95,96,97],"在分类准确性和模型复杂度之间的权衡","交叉验证的次数","用到的核函数","以上都不对","​SVM中的代价参数C表示什么? ( ) .​",{"answer":100,"createTime":91,"id":101,"options":102,"question":107,"source":30,"type":31},[],154910605,[103,104,105,106],".x+2y-3=0","无法计算","2y+x-5=0","2x+y-4=0","‍一个正例(2,3),一个负例(0,-1),下面哪个是SVM超平面? ( )"]