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于 2019-12-20 发布
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说明:  随机森林是一种有监督学习算法,是以决策树为基学习器的集成学习算法。随机森林非常简单,易于实现,计算开销也很小,但是它在分类和回归上表现出非常惊人的性能,因此,随机森林被誉为“代表集成学习技术水平的方法”。(Random forest is a supervised learning algorithm, which is an integrated learning algorithm based on decision tree. Random forest is very simple, easy to implement, and the cost of calculation is very small, but it shows amazing performance in classification and regression. Therefore, random forest is known as "the method representing the level of integrated learning technology".)

文件列表:

Code, 0 , 2018-10-29
Code\Copy_of_draw.m, 1307 , 2018-10-19
Code\Copy_of_main.m, 1144 , 2018-10-25
Code\data.xls, 61952 , 2018-10-18
Code\draw.m, 1374 , 2018-10-19
Code\draw2.m, 962 , 2018-10-30
Code\main.m, 1108 , 2018-10-19
Code\read.m, 7732 , 2018-10-29
Code\record1.txt, 305 , 2018-10-19

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