适用于决策树的数据集
2021-03-16 09:06:21 1.27MB 决策树
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graphviz.zip
2021-03-14 09:14:11 32.1MB graphviz 可视化 决策树
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二叉决策树实现代码(Matlab)
2021-03-13 13:05:43 928B matlab 数学建模
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决策树软件Dbminer2.0+破解,决策树软件Dbminer2.0+破解,
2021-03-12 13:15:04 4.56MB 决策树软件Dbminer2.0+破解
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hd_knn_tree 使用RStudio对心脏病数据集进行决策树和K最近邻分析。 还要与进行比较,以找出哪种模型可以更好地预测数据集。 使用的技术/框架 Rstudio Rmarkdown 使用的RStudio库 库(caTools) 图书馆(班) 图书馆(kknn) 图书馆(插入符号) 图书馆(ROCR) 库(rpart) 库(rpart.plot) 图书馆(MASS) 图书馆(tidyverse) 图书馆(ggsci) 安装R软件包 rpack <- c("kknn", "caret", "class","caTools", "ROCR", "rpart", "rpart.plot", "MASS", "tidyverse", "ggsci") install.packages(rpack) 数据集 来自UCI的包含76个代表患者状况的属性。 本文的数据集来
2021-03-10 14:09:28 104KB knn decision-tree R
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该数据集用于决策树随机森林天气预测数据集,利用前一天和历史最高平均气温,实现气温预测的随机森林模型。
2021-03-09 09:34:58 14KB 随机森林
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Python实现决策树多分类和回归(Robotnavigation数据)附数据集和结果
2021-03-05 18:14:11 754KB cart分类回归树
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The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
2021-03-05 11:42:41 7.39MB 决策树 机器学习
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决策树
2021-03-04 15:07:19 546KB
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ID3源代码
2021-03-03 21:07:39 165KB ID3
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