This is the whole code I provided except the libraries such as
library(caret)
library(randomForest)
data=read.csv("fault.csv")
inTraining <- createDataPartition(data$bug , p = .75,list = FALSE)
training <- data [inTraining, ]
testings <- data [-inTraining, ]
ctrol = trainControl(method = "repeatedcv", number=5)
myTrain <- train(bug ~ ., data = training,
method = "rf",
tuneLength = 15,
metric = "MAE",
preProc = c("center", "scale", "zv"),
trControl = ctrol)
On Sat, Dec 21, 2019 at 12:23 AM Neha gupta <neha.bologn...@gmail.com>
wrote:
>
> The code is described below: I need to find the RMSE and MAE
>
> ///read data which have data types of integer and number.
> data=read.csv("fault.csv")
>
> inTraining <- createDataPartition(data$bug , p = .75,list = FALSE)
> training <- data [inTraining, ]
> testings <- data [-inTraining, ]
> ctrol = trainControl(method = "repeatedcv", number=5)
> myTrain <- train(bug ~ ., data = training,
> method = "rf",
> tuneLength = 15,
> metric = "MAE",
> preProc = c("center", "scale", "zv"),
> trControl = ctrol)
>
> On Fri, Dec 20, 2019 at 11:31 PM Neha gupta <neha.bologn...@gmail.com>
> wrote:
>
>> When I run my code, I get the following error and suddenly the
>> execution of the script stops. Where in my data is the problem?
>>
>> Something is wrong; all the MAE metric values are missing:
>> RMSE Rsquared MAE
>> Min. : NA Min. : NA Min. : NA
>> 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
>> Median : NA Median : NA Median : NA
>> Mean :NaN Mean :NaN Mean :NaN
>> 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
>> Max. : NA Max. : NA Max. : NA
>> NA's :8 NA's :8 NA's :8
>> Error: Stopping
>>
>
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