Load in the beans data that we've seen in class:

install.packages$("$beans$")$

library$($beans$)$

library$($tidyverse$)$

glimpse$($beans$)$

Split the data into a training$-$set, validation$-$set, and testing$-$set

Create at least one model each of: k$-$nn$,$ decision tree, random forest, naive bayse, and neural network $($mlp$).$

Fit the models to the training set.

Evaluate the models' accuracy on the validation set.

Evaluate the model with the best validation accuracy on the testing set.