[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fLG1a-xu56_6pyrnOq7b5C2vOUpw2PeLkxqcoXRNXTQ4":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":30,"type":31},[],"2025-06-15 00:24:50",200707571,[8,9,10,11],"若有多个假设与观察一致,则随机选一个","若有多个假设与观察一致,则选既不简单又不复杂的那个","若有多个假设与观察一致,则选最简单的那个","若有多个假设与观察一致,则选最复杂的那个",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":16},85,"fc0c1d00e84a5bdd920ca3eef531981e","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffb47e65ee6bbb8f896e6b4fca1783b07.png","机器学习初步","exam_162020308","以下哪个选项是指"奥卡姆剃刀"原则",[20,32,42,51,60,69,78,86,95,98],{"answer":21,"createTime":22,"id":23,"options":24,"question":29,"source":30,"type":31},[],"2025-06-15 00:24:48",200707551,[25,26,27,28],"所有机器学习问题问题出现的机会相同","机器学习算法需要数据","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","v1",0,{"answer":33,"createTime":34,"id":35,"options":36,"question":41,"source":30,"type":31},[],"2025-06-15 00:24:49",200707553,[37,38,39,40],"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":43,"createTime":34,"id":44,"options":45,"question":50,"source":30,"type":31},[],200707554,[46,47,48,49],"单层后向网络","多层后向网络","单层前馈网络","多层前馈网络","目前神经网络最常用的网络结构是下列哪个选项",{"answer":52,"createTime":34,"id":53,"options":54,"question":59,"source":30,"type":31},[],200707556,[55,56,57,58],"以很低概率得到不好的模型","以很低概率得到很好的模型","以很高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":61,"createTime":34,"id":62,"options":63,"question":68,"source":30,"type":31},[],200707560,[64,65,66,67],"1956","1966","1979","1993","第一篇关于决策树的工作在哪一年发表的",{"answer":70,"createTime":34,"id":71,"options":72,"question":77,"source":30,"type":31},[],200707562,[73,74,75,76],"错误率","精度","查准率","查全率","收购西瓜的公司希望把瓜摊的好瓜都尽量收走,请问他的评价标准是",{"answer":79,"createTime":34,"id":80,"options":81,"question":85,"source":30,"type":31},[],200707565,[82,83,84],"原型聚类","密度聚类","层次聚类","下面哪一项是通过样本分布的紧密程度确定聚类结构的聚类算法",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":30,"type":31},[],200707568,[90,91,92,93],"数据","某种类型假设","标记","运行速度","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":96,"createTime":5,"id":6,"options":97,"question":18,"source":30,"type":31},[],[8,9,10,11],{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],200707573,[102,103,104,105],"训练集;需要","训练集;不需要","验证集;需要","验证集;不需要","我们通常将数据集划分为训练集,验证集和测试集进行模型的训练,参数的验证需要在()上进行,参数确定后()重新训练模型"]