名为exit的c50代码，值为1，错误: C5.0模型需要一个因子结果

Question

因此，我正在使用credit.csv开发Rmd。我有以下代码

#install.packages("C50")
library(C50)
credit_model = C5.0(credit_train[-2],     # field 21 is the default, and we don't want that as part of the tree
                    credit_train$default)  
credit_model

，它显示此错误。

Error: C5.0 models require a factor outcome

但是如果我尝试将默认值转换为这样的因子：

#install.packages("C50")
library(C50)
credit_train$default<-as.factor(credit_train$default)
credit_model = C5.0(credit_train[-2],     # field 21 is the default, and we don't want that as part of the tree
                    credit_train$default)  
credit_model

它显示以下错误：

c50 code called exit with value 1

Call:
C5.0.default(x = credit_train[-2], y = credit_train$default)

Classification Tree
Number of samples: 900 
Number of predictors: 20 

Tree size: 0 

Non-standard options: attempt to group attributes

我真的不知道该怎么做数据集中没有缺失的字段

Answer 1

模型的内部逻辑已被删除。但是您可以使用以下内容来查看它:摘要(Credit_model)