This is the workshop I recently ran for the iSpace Workshop Series at the University of Arizona Science and Engineering Laboratory. We used the caret pacakage to go through an example classification problem and cover loading data, preProcessing data, model comparison and prediction on test data.
An updated random forest bean model with new data - now spanning 1987-2017. I show off the new model (which still has excellent predictive power, though somewhat less than the previous model) and demonstrate some new analytics to maximize the purchasing insight from the model outputs.
