The dataset for analysis here is DNA pulled from mlbench. You don't have to install the package as I've put it in a CSV file and placed it on GitHub: https://github.com/datameister66/MMLR3rd/blob/master/dna.csv.
Install the packages as needed and load the data:
> library(magrittr)
> install.packages("earth")
> install.packages("glmnet")
> install.packages("mlr")
> install.packages("randomForest")
> install.packages("tidyverse")
dna <- read.csv("dna.csv")
The data consists of 3,181 observations, 180 input features coded as binary indicators, and the Class response. The response is a factor with three labels indicating a DNA type either ei, ie, or neither—coded as n. The following is a table of the target labels:
> table(dna$Class)
ei ie n
767 765 1654
This data...
