Today the NBA is a hot topic, and many experts will predict the situation of the result before the game。 So the question is: is there a good algorithm that can predict the results of the game as accurately as possible?The subject is mainly to find the appropriate decision tree or random forest algorithm。By exacting the different characteristics, to optimize the accuracy of prediction, and find a relatively accurate algorithm。 The efficiency of the algorithm is not very high, so it is best to deal with all the characteristics, and use each data only one time。 When building a decision tree, the last few steps rely only on a few inpiduals, randomness。 Using a specific node to make inference is easy to lead to fitting training data, which requires the use of exit criteria to prevent high accuracy。 In addition, setting out exit criteria, you can also create a complete tree, trim it, and remove nodes that do not provide much information about the entire process。

毕业论文关键字： 决策树； 随机森林； 预测； 节点

Keyword：decision tree； random forests； predict； node  

目录

1 球赛预测及决策树算法的背景介绍 4

1。1 球赛预测简介 4

1。2 现有的预测方法 4

1。3 决策树算法背景介绍 5

1。4 python背景源Y于Y优E尔Y论L文W网wwW.yOueRw.com 原文+QQ752018.766 介绍 5

2 决策树及随机森林 6

2。1 决策树算法 6

2。2 随机森林算法 8

2。3 相关库、函数等介绍 9

3 对nba2015赛季做实例计算 10

3。1 研究的总体概述 10

3。2 pandas加载库 11

3。3 决策树算法 13

3。4 随机森林算法 15

4 总结 16

参考文献 17

致谢 17

1 球赛预测及决策树算法的背景介绍