Automatic Feature selection part II: Let's code in R

[@calebterrelorellana2478]

One of the best tutorials

[@donglingluo1756]

Thanks for the wonderful tutorials! I followed the scripts provided in the GitHub. All ran well until I met some problems running the following codes: [with R version 4.1.2 ] #fit.nnet

[@donglingluo1756]

Have been solved after restarting Rstudio. Thanks! But I couldn't successfully install the package of "NeuralSens" this time.😭

[@RodCoelho]

Where can we get the code?

[@MarioCastroPonce]

github.com/mariocastro73/ML2020-2021

[@EricESattar]

Hi Mario, Thank you for making this tutorial, very informative. During running the recursive algorithm, I cannot understand this meaning of this part and I am getting an error results = rfe(trainData[,1:5], trainData[,6], sizes = c(1:5), rfeControl = control) Error: Error in `[.default`(tab, 1:m, 1:m) : subscript out of bounds P.S. is the information of my database: 'data.frame': 99 obs. of 6 variables: $ soil : num 849 298 521 860 131 ... $ tree : int 849 298 521 860 131 1097 410 283 832 224 ... $ GLCM_Homog_red: num 0.1 0.1 0.1 0.1 0 0.1 0.1 0.1 0.1 0.1 ... $ Area_Pxl : num 850 300 522 862 132 ... $ Border_ind : num 1.3 1.4 1.4 1.8 1.4 1.6 1.4 1.2 1.4 1 ... $ High : chr "No" "No" "Yes" "No" ... Could you please let me know why I am getting this error? Thanks a lot. Eric