Using the 1,064 most frequently occurring templates in the USPTO dataset, the model predicted synthetic routes to 50 % of the compounds in the 'bespoke' library, increasing by 19 % to a maximal value of 69 % when using 77,281 reaction templates. This alludes to the point that increasing the number of templates increases the chemical diversity of the templates, thus more synthetic routes can be found than with smaller template library sets. The increase in diversity of the templates originates from the fact that no two templates are the same, as they account for different sub-structural patterns.