决策树ID3算法实验_数据集car_databases。用python编写的决策树ID3算法，运用了Car-Evaluation的例子。BUG较少，综合了网上的优秀代码，并进一步形成自己的代码。代码基本有注释，风格良好，能够很快看懂。内含有比较规范的报告文档，包含所有流程图，说明图，以及文档风格绝对不错，无需更改，建议下载！


该算法所测试的数据集如下（已经打包在内，并已经生成xls格式，方便直接使用）：

已知：UCI标准数据集Car-Evaluation，定义了汽车性价比的4 个类别；
求：用ID3算法建立Car-Evaluation的属性描述决策树
Car-Evaluation训练数据集文件：

1.　car_databases.pdf
2.　car_evalution-databases.pdf(Decision tree ID3 algorithm experiment data set car_databases. The decision tree ID3 algorithm written in Python is used in the example of Car-Evaluation. BUG is less, it combines the excellent code on the Internet, and further forms its own code. The code is basically annotated, style is good, and can read quickly. It contains a relatively standardized report document, including all flow charts, illustrations, and document styles. Absolutely, no need to change. We recommend downloading.




The data set tested by this algorithm is as follows (already packaged and has been generated in XLS format for easy use):



Known: the UCI standard dataset Car-Evaluation defines 4 categories of vehicle performance price ratio.

Use ID3 algorithm to build Car-Evaluation attribute descr iption tree.

Car-Evaluation training dataset file:



1. car_databases.pdf

2. car_evalution-databases.pdf)