Another way to visualize the model's evolution is by visualizing the decision boundary between vesicle forming and non-forming compositions. To allow for visualization, the original 7-dimensional compositional data were reduced to 2-dimensions using principal component analysis (PCA). These first two components accounted for only about 50% of the variance, demonstrating the complexities of understanding the input space. The top row of Figure shows