r - 名称错误(ret2) <- rowns : 'names' attribute [2000] must be the same length as the vector [1605]

Question

构建SVM模型

model<- svm(SeriousDlqin2yrs~., IAStrain)
predictedY <- predict(model, IAStest)
Error in names(ret2) <- rowns: 
'names' attribute [2000] must be the same length as the vector [1605]

我的两个数据集(训练和测试)的数据类型:

> str(IAStest)
'data.frame':   2000 obs. of  10 variables:
$ RevolvingUtilizationOfUnsecuredLines: num  0.106 0.503 0.111 1 1 ...
$ age : int  45 46 78 78 63 33 44 65 31 41 ...
$ NumberOfTime30.59DaysPastDueNotWorse: int  0 0 0 0 0 0 0 0 0 0 ...
$ DebtRatio : num  0.2877 0.311 0.0651 0.1255 45 ...
$ MonthlyIncome: int  10000 4912 11583 12465 NA 2500 NA 18915 8200 30018 ...
$ NumberOfOpenCreditLinesAndLoans: int  5 6 8 2 4 8 4 6 9 14 ...
$ NumberOfTimes90DaysLate: int  0 0 0 0 0 0 0 0 0 0 ...
$ NumberRealEstateLoansOrLines        : int  2 1 0 2 0 1 0 2 1 3 ...
$ NumberOfTime60.89DaysPastDueNotWorse: int  0 0 0 0 0 0 0 0 0 0 ...
$ NumberOfDependents                  : int  5 3 0 0 0 1 0 2 0 2 ...

> str(IAStrain)
'data.frame':   28000 obs. of  11 variables:
$ SeriousDlqin2yrs: Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 1 1 1 ...
$ RevolvingUtilizationOfUnsecuredLines: num  0.957 0.658 0.907 0.213 0.306
$ age  : int  40 38 49 74 57 39 27 57 30 51 ...
$ NumberOfTime30.59DaysPastDueNotWorse: int  0 1 1 0 0 0 0 0 0 0 ...
$ DebtRatio  : num  1.22e-01 8.51e-02 2.49e-02 3.76e-01 5.71e+03 ...
$ MonthlyIncome  : int  2600 3042 63588 3500 NA 3500 NA 23684 2500 6501 ...
$ NumberOfOpenCreditLinesAndLoans: int  4 2 7 3 8 8 2 9 5 7 ...
$ NumberOfTimes90DaysLate: int  0 1 0 0 0 0 0 0 0 0 ...
$ NumberRealEstateLoansOrLines: int  0 0 1 1 3 0 0 4 0 2 ...
$ NumberOfTime60.89DaysPastDueNotWorse: int  0 0 0 0 0 0 0 0 0 0 ...
$ NumberOfDependents:   int  1 0 0 1 0 0 NA 2 0 2 ...

我读过很多关于同一类问题的帖子。问题主要在于变量的数据类型。但就我而言，这不是问题。

Answer 1

除了我的评论之外，您的数据中的NA很可能是问题所在

predictedY <- predict(model, IAStest[!rowSums(is.na(IAStest)),])

应该为不包含NA值的行生成结果