Question

在我的数据集上使用以下内容时，收到错误消息。

rpmodel <- train(Class~.,train, method = "rpart", prox = TRUE)


Something is wrong; all the Accuracy metric values are missing:
    Accuracy       Kappa    
 Min.   : NA   Min.   : NA  
 1st Qu.: NA   1st Qu.: NA  
 Median : NA   Median : NA  
 Mean   :NaN   Mean   :NaN  
 3rd Qu.: NA   3rd Qu.: NA  
 Max.   : NA   Max.   : NA  
 NA's   :3     NA's   :3    
Error in train.default(x, y, weights = w, ...) : Stopping
In addition: There were 26 warnings (use warnings() to see them)

但数据集中没有NA。

Answer 1

警告告诉你问题所在。您传递的参数（prox）既不是train或rpart的参数：

> "prox"  %in% names(formals(rpart))
[1] FALSE
> "prox"  %in% names(formals(train.formula))
[1] FALSE

最高

Answer 2

您可能已过滤了一个或多个因子变量。尝试重构它们，因为因子级别仍然可用。另见github上的this issue。

sapply(train, class)
# refactor all variables with class factor
variable <- factor(as.character(variable)

尝试创建分类树时，rpart没有运行

2 个答案: