The four representations V1-V4 were tested under a variety of ML algorithms. Simple Linear Regression (LR), which attempts to model the relationship between two variables by fitting a linear equation to the data, was initially employed. Ensemble methods such as Gradient Boosted Regression (GBR) and Random Forrest Regression (RFR) were also examined. These methods combine the outputs of several decision trees looking at subsets of the data into a single result. This reduces variance in the results.