Imagine that you are applying an unsupervised machine learning algorithm to a data set containing $4$ attributes, $(1)$ information on the location, $(2)$ the length, $(3)$ the number of customers served, and $(4)$ the total delivery cost for each of your company's $10,000$ global delivery routes. Which insight below should you expect?

$-$Explanation of how the four attributes predict whether a route fits your own definitions of a "Good Route" or a "Bad Route".

$-$Grouping of the routes into previously unknown clusters with similar measures for each of the $4$ attributes.

$-$Coefficients that allow you to predict attribute $(4)$ given information about attributes $(1),(2),$ and $(3)$

$-$The optimal sequence of customer deliveries for each of the $10,000$ routes.