[R] Caret Train does not output the Accuracy SD

[Heba Attia]

Hello Rescuers,

I have a problem with retrieving the Accuracy Standard Deviation for a
"nnet" model trained by "train" in the "caret" package.

Below is my code. I checked several examples online whose published output
shows Accuracy SD but I could not get to finding a difference between these
codes and mine. I hope someone can help with identifying where my problem
is.

*set.seed(42)*
*control <- trainControl(method="repeatedcv", number=10, repeats=5)*

*rfFit <- train(Label ~., data = Train_2.4.16,*
*                 method = "rf",*
*                 preProc = c("center", "scale"),*
*                 tuneLength = 10,*
*                 metric = "Accuracy",*
*                 trControl=control,*
*                 allowParallel=TRUE)*
*print(rfFit) *

​Below is the output I get:
​
​*Random Forest *

*3141 samples*
* 110 predictor*
*   5 classes: '(2.81,3.19]', '(3.19,3.48]', '(3.48,3.74]', '(3.74,4]',
'[0.43,2.81]' *

*No pre-processing*
*Resampling: Cross-Validated (10 fold, repeated 5 times) *
*Summary of sample sizes: 2827, 2827, 2828, 2827, 2828, 2827, ... *
*Resampling results:*

*  Accuracy   Kappa    *
*  0.7520328  0.6900293*

*Tuning parameter 'mtry' was held constant at a value of 10.48809​*

​If relevant, I am using Windows ​10, RStudio and the Caret package updated
as of today version 6.0-71

​Thank you,
Heba. ​

-- 


*Heba AtteyaResearch Analyst Data Analytics and Institutional Researchtel.
20.2.2615. 2230"Information is the oil of the 21st century, and analytics
is the combustion engine" ~Senior VP, Gartner Research*

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