随机森林是用随机的方式建立一个森林，森林里面有很多的决策树组成，随机森林的每一棵决策树之间是没有关联的。在得到森林之后，当有一个新的输入样本进入的时候，就让森林中的每一棵决策树分别进行一下判断，看看这个样本应该属于哪一类，然后看看哪一类被选择最多，就预测这个样本为那一类。-Random forests are used in a random way to build a forest, there are a lot of decision trees in the forest, there is no association between the random forest of each decision tree. In the forest, when there is a new input into the sample, let every decision tree in the forest was a judge, look at the sample which should belongs to a class, and then take a look at what kind of choice is the most, the predicted samples for that class.