C5.0 决策树 - c50 代码名为 exit，值为 1 [英] C5.0 decision tree - c50 code called exit with value 1

问题描述

我收到以下错误

c50 代码名为 exit，值为 1

我是根据 Kaggle 提供的泰坦尼克号数据进行的

I am doing this on the titanic data available from Kaggle

# Importing datasets
train <- read.csv("train.csv", sep=",")

# this is the structure
  str(train)

输出:-

    'data.frame':   891 obs. of  12 variables:
 $ PassengerId: int  1 2 3 4 5 6 7 8 9 10 ...
 $ Survived   : int  0 1 1 1 0 0 0 0 1 1 ...
 $ Pclass     : int  3 1 3 1 3 3 1 3 3 2 ...
 $ Name       : Factor w/ 891 levels "Abbing, Mr. Anthony",..: 109 191 358 277 16 559 520 629 417 581 ...
 $ Sex        : Factor w/ 2 levels "female","male": 2 1 1 1 2 2 2 2 1 1 ...
 $ Age        : num  22 38 26 35 35 NA 54 2 27 14 ...
 $ SibSp      : int  1 1 0 1 0 0 0 3 0 1 ...
 $ Parch      : int  0 0 0 0 0 0 0 1 2 0 ...
 $ Ticket     : Factor w/ 681 levels "110152","110413",..: 524 597 670 50 473 276 86 396 345 133 ...
 $ Fare       : num  7.25 71.28 7.92 53.1 8.05 ...
 $ Cabin      : Factor w/ 148 levels "","A10","A14",..: 1 83 1 57 1 1 131 1 1 1 ...
 $ Embarked   : Factor w/ 4 levels "","C","Q","S": 4 2 4 4 4 3 4 4 4 2 ...

然后我尝试使用 C5.0 dtree

Then I tried using C5.0 dtree

# Trying with C5.0 decision tree
library(C50)

#C5.0 models require a factor outcome otherwise error
train$Survived <- factor(train$Survived)

new_model <- C5.0(train[-2],train$Survived)

所以运行上面的行给了我这个错误

So running the above lines gives me this error

c50 code called exit with value 1

我无法弄清楚出了什么问题?我在不同的数据集上使用了类似的代码，并且运行良好.关于如何调试代码的任何想法?

I'm not able to figure out what's going wrong? I was using similar code on different dataset and it was working fine. Any ideas about how can I debug my code?

-谢谢

推荐答案

对于任何有兴趣的人，可以在这里找到数据:http://www.kaggle.com/c/titanic-gettingStarted/data.我认为您需要注册才能下载.

For anyone interested, the data can be found here: http://www.kaggle.com/c/titanic-gettingStarted/data. I think you need to be registered in order to download it.

关于你的问题，首先我认为你是想写

Regarding your problem, first of I think you meant to write

new_model <- C5.0(train[,-2],train$Survived)

接下来，注意Cabin 和Embarked 列的结构.这两个因素有一个空字符作为级别名称(检查 levels(train$Embarked)).这是 C50 失败的地方.如果您修改您的数据使得

Next, notice the structure of the Cabin and Embarked Columns. These two factors have an empty character as a level name (check with levels(train$Embarked)). This is the point where C50 falls over. If you modify your data such that

levels(train$Cabin)[1] = "missing"
levels(train$Embarked)[1] = "missing"

您的算法现在可以正常运行了.

your algorithm will now run without an error.

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