Do it rstudio

How would I recreate these model in rstudio after SMOTE with $10-$fold cross$-$validation.

Table $4.$ Performance evaluation after SMOTE with $10-$fold cross$-$validation.

Accuracy Precision Recall F$-$Measure AUC

NB $88\mathrm{.}91\backslash$pm $5\mathrm{.}02\%89\mathrm{.}1\backslash$pm $4\mathrm{.}7\%88\mathrm{.}9\backslash$pm $5\%88\mathrm{.}9\backslash$pm $5\mathrm{.}1\%95\mathrm{.}5\backslash$pm $2\mathrm{.}4\%$

SVM $95\mathrm{.}62\backslash$pm $2\mathrm{.}06\%95\mathrm{.}7\backslash$pm $1\mathrm{.}8\%95\mathrm{.}62\mathrm{.}1\%95\mathrm{.}6\backslash$pm $2\mathrm{.}1\%95\mathrm{.}6\backslash$pm $2\mathrm{.}1\%$

LR $93\mathrm{.}44\backslash$pm $2\mathrm{.}64\%93\mathrm{.}4\backslash$pm $2\mathrm{.}6\%93\mathrm{.}4\backslash$pm $2\mathrm{.}6\%93\mathrm{.}4\backslash$pm $2\mathrm{.}7\%97\mathrm{.}6\backslash$pm $1\mathrm{.}4\%$

and the model have to contain these parameters

Table $3.$ Machine Learning models$$ settings. Models Parameters

NB $-$useKernelEstimator: False $-$useSupervisedDiscretization: False

SVM $-$eps $=0\mathrm{.}001-$gamma $=0\mathrm{.}0-$kernel type: radial basis function $-$loss $=0\mathrm{.}1$

LR $-$ridge $=108-$useConjugateGradientDescent: False