"出事了；缺少所有准确度度量值"；插入符号训练中的错误 [英] "Something is wrong; all the Accuracy metric values are missing" Error in Caret Training

问题描述

我遇到了与

I'm having the same issue as here, but the solutions are not working for me. I'm not sure what I'm doing wrong...

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，出现错误:

However, when I run the last line of code, I'm getting the error:

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)

任何人都可以提供的任何帮助都会非常有帮助.

Any help that anyone can provide would be extremely helpful.

推荐答案

您正在使用默认符号(x 和 y)而不是公式符号(x 和 y)>Y ~ .).无需指定 data = 参数.改为:

You are using the default notation (x and y) and not the formula notation (Y ~ .). No need to specify data = argument. Change it to:

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

这应该可以解决问题.

这篇关于"出事了；缺少所有准确度度量值"；插入符号训练中的错误的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！