Question

我已使用此代码对在carData库中找到的Davis数据集执行了5折交叉验证。

install.packages("caret")
library(caret)
trainControl<-trainControl(method="cv",number=5)
lm<-train(weight~height+repht+repwt,Davis,method="lm",trControl=trainControl)
lm

运行此命令，我得到一个错误，指出重量缺少值。这是错误消息：

na.fail.default（list（weight = c（77L，58L，53L，68L，59L，76L，：缺少对象值

对于如何解决此问题的任何建议，我将不胜感激。预先感谢！

Answer 1

您的预测变量中缺少错误，例如：

library(caret)
data = mtcars
data$mpg[c(3,6,9)]<-NA
trainControl<-trainControl(method="cv",number=5)
fit<-train(mpg~cyl+hp,data,method="lm",trControl=trainControl)

Error in na.fail.default(list(mpg = c(21, 21, NA, 21.4, 18.7, NA, 14.3,  : 
  missing values in object

使用complete.cases获取包含完整观测值的数据

complete.obs = complete.cases(data[,c("mpg","cyl","hp")])
data = data[complete.obs,]
fit<-train(mpg~cyl+hp,data,method="lm",trControl=trainControl)

您的情况应该是：

complete.obs = Davis[,c("weight","height","repht","repwt")]

5折交叉验证

1 个答案: