决策树-分数据集-建模预测选择决策树模型-剪枝-qyc

d = read.csv(“train.csv”,header = TRUE) dc= d[complete.cases(d),] #分类数据Y0~3 保持原来Y的分布，进行平均抽 d0=d[d y = = 0 , ] d 1 = d [ d y==0,] d1=d[d y==0,]d1=d[dy1,] d2=d[d y = = 2 , ] d 3 = d [ d y==2,] d3=d[d y=

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