Question

我遇到与here相同的问题，但解决方案对我不起作用。我不确定我做错了什么......

这是我的代码：

# ensure results are repeatable
set.seed(7)

# load the library
library(caret)

# load the dataset
dataset <- read.csv("C:\\Users\\asholmes\\Documents\\diabetes_r.csv", na.strings='.')

#convert to data frame
as.data.frame(dataset, stringsAsFactors=TRUE)

#create x and y
x <- dataset[, 1:15]
y <- dataset[, 16]

# prepare training scheme
control <- trainControl(method="repeatedcv", number=10, repeats=3)

# train the model
model <- train(x, y, data=dataset, method="lvq", preProcess="scale", trControl=control)

这是我的数据：

> str(dataset)
'data.frame':   2777 obs. of  16 variables:
 $ A1c          : num  5 8.5 5.5 5.9 5.1 6.2 6.4 5.7 4.8 5.4 ...
 $ BP_CAT       : Factor w/ 3 levels "Hypertension",..: 3 1 1 3 1 3 3 3 3 3 ...
 $ BMI_CAT      : Factor w/ 4 levels "Normal","Obese",..: 3 2 2 2 2 2 2 2 2 3 ...
 $ Creatinine   : num  0.8 0.8 0.7 0.7 0.6 1.2 0.6 1.4 1.1 0.6 ...
 $ LDL          : num  86 51 107 102 NA 79 82 79 150 NA ...
 $ BUN          : num  14 9 10 15 12 13 7 15 16 16 ...
 $ Triglycerides: num  221 77 98 121 NA 324 151 88 97 841 ...
 $ Age          : num  55 57 24 55 38 51 44 35 25 48 ...
 $ Gender       : Factor w/ 2 levels "F","M": 1 1 1 1 1 2 1 1 1 1 ...
 $ Claims       : num  13 394 15 18 11 33 9 1 13 3 ...
 $ Presc        : num  47 227 85 58 29 190 0 2 6 6 ...
 $ Months       : Factor w/ 12 levels "1","2","3","4",..: 9 12 12 12 12 12 12 12 12 12 ...
 $ Expenditure  : num  2877 71859 7494 5196 2500 ...
 $ Health.Plan  : Factor w/ 20 levels "AFFMCD ","HFMCD",..: 9 6 2 2 2 2 4 2 2 2 ...
 $ Flag         : Factor w/ 12 levels "Asthma","CKD",..: 1 4 8 8 1 3 10 10 10 10 ...
 $ Case.Status  : Factor w/ 6 levels "Closed","Deferred",..: 6 4 4 4 1 4 6 4 4 4 ...

但是，当我运行最后一行代码时，我收到错误：

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   :9     NA's   :9    
Error in train.default(x, y, data = dataset, method = "lvq", preProcess = "scale",  : 
  Stopping
In addition: There were 50 or more warnings (use warnings() to see the first 50)

任何人都可以提供任何帮助都非常有用。

Answer 1

您使用的是默认表示法（x和y），而不是公式表示法（Y ~ .）。无需指定data =参数。将其更改为：

model <- train(x, y, method="lvq", preProcess="scale", trControl=control)

这应该可以解决问题。

＆＃34;出了点问题;缺少所有准确度指标值＆＃34;插入训练错误

1 个答案: