[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$faMFy6_Q27eOGy90oq7XGgU4-n00xKybfTKG5TOw9vEg":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":17,"related":18,"source":28,"type":111},[],"2025-12-01 12:33:05",246687835,[8,9],"正确","错误",{"count":11,"courseId":12,"courseImg":13,"courseName":14,"workId":15,"workName":16},84,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","exam_167244504","机器学习初步","决策树剪枝的基本策略只有"后剪枝"",[19,30,39,48,57,66,75,84,93,102],{"answer":20,"createTime":5,"id":21,"options":22,"question":27,"source":28,"type":29},[],246687767,[23,24,25,26],"适用于模型采用 k 折交叉验证的评估方法","无法判断统计显著性","基于成对t检验","需要用到模型评估时 k 折交叉验证的 k 个结果","下面关于交叉验证检验错误的是","v1",0,{"answer":31,"createTime":5,"id":32,"options":33,"question":38,"source":28,"type":29},[],246687768,[34,35,36,37],"以上三个选项都不需要考虑","性能度量","评估方法","比较检验","为了说明模型在统计意义上表现好, 我们最需要考虑",{"answer":40,"createTime":5,"id":41,"options":42,"question":47,"source":28,"type":29},[],246687769,[43,44,45,46],"以上都对","无序的离散属性","连续属性","有序的离散属性","示例的属性可以属于下列哪个类别",{"answer":49,"createTime":5,"id":50,"options":51,"question":56,"source":28,"type":29},[],246687770,[52,53,54,55],"降低;降低","降低;增加","增加;降低","增加;增加","后剪枝的测试时间开销(),训练时间开销()",{"answer":58,"createTime":5,"id":59,"options":60,"question":65,"source":28,"type":29},[],246687771,[61,62,63,64],"相互不独立","部分不独立","部分独立","相互独立","朴素贝叶斯分类器中,对给定类别,模型对所有属性间的独立性有何种假设",{"answer":67,"createTime":5,"id":68,"options":69,"question":74,"source":28,"type":29},[],246687772,[70,71,72,73],"以很低概率得到不好的模型","以很高概率得到很好的模型","以很低概率得到很好的模型","以很高概率得到不好的模型","以下哪个是对概率近似正确(PAC)的正确解释",{"answer":76,"createTime":5,"id":77,"options":78,"question":83,"source":28,"type":29},[],246687773,[79,80,81,82],"机器学习算法需要数据","所有机器学习问题问题出现的机会相同","一个算法a若在某些问题上比另一个算法b好,必存在另一些问题没算法b好","一个算法a若在某些问题上比另一个算法b好,a一定比b需要更多数据","以下哪种说法描述了NFL定理",{"answer":85,"createTime":5,"id":86,"options":87,"question":92,"source":28,"type":29},[],246687774,[88,89,90,91],"运行速度","某种类型假设","标记","数据","归纳偏好指机器学习算法在学习过程中,对以下哪个选项的偏好",{"answer":94,"createTime":5,"id":95,"options":96,"question":101,"source":28,"type":29},[],246687775,[97,98,99,100],"可以通过SMO进行高效的求解","可以通过常规的优化计算包求解","SMO需要迭代的进行求解, 且每一步迭代的子问题不存在闭式解","在使用SMO时需要先推导出支持向量机的对偶问题","关于支持向量机的优化描述错误的是",{"answer":103,"createTime":5,"id":104,"options":105,"question":110,"source":28,"type":29},[],246687776,[106,107,108,109],"严格大于0","具有中心对称性","单调且任意阶可导","不需要写成分段形式","对数几率函数作为单位阶跃函数的替代函数的优点是什么",3]