“决策树学习”的概念、定义、翻译、参考文献-科学参考

单词	决策树学习
释义	决策树学习 Encyclopedia 理学决策树学习释 decision tree learning决策树学习一类常见的机器学习方法。该类方法通过在训练数据集学习得到一个树形的决策模型。通常，一颗决策树包含一个根结点、若干个内部结点和若干个叶结点。其中，叶结点对应于决策结果，其他每个结点则对应于一个属性测试。每个结点包含的样本集合根据属性测试的结果被划分到子节点中；根节点包含样本全集。一旦一颗决策树构建完成，从根节点到每个叶子节点的路径对应了一个判定测试序列。
随便看	the United Nations Sustainable Development Goals The United Nations' World Conference on Women The United Nations World Food Programme The United States Amateur Sports Act the United States-Central American free trade area the United States - China Bilateral World Trade Organization Agreement The United States of America National Park System The Unity The Universal Daily News The Universal Phonetic Symbol Set in China GF 3007—2006 The Universal Progressive Journal The Universals Archive The Universities’Alliance Across The Strait On Cultural Creative Industries Research The university of Chicago library（UCL） The University of Hong Kong Libraries The University of Manchester, UK The University of Warwick The Unknown Soldier The Unlawful Justice Squad The Unmatchable the unmber of foreign direct investment contract enterprises (projects) the unstable energy of an atmosphericlayer the upper troposphere and the lower stratosphere The Urban Institution model the Urban Planning of Singapore

科学参考收录了854744条科技类词条，基本涵盖了常见科技类参考文献及英语词汇的翻译，是科学学习和研究的有利工具。