Upon ranking the edges in order of decreasing likelihood ratio magnitudes it was possible to evaluate the performance of the algorithm using, for example, Receiver Operating Characteristic (ROC) curves. An ROC plot plots the true positive rate against the false positive rate (i.e. benefits vs. costs) . This is done by ranking the edges in order of decreasing likelihood ratios. Working downwards through the list in the direction of decreasing likelihood ratio, all edges of greater likelihood ratio than the current cut-off are taken to be the result set. At each point the true positive rate is found by dividing the number of edges from "chosen true edges" that are found in the result set by the total number of "chosen true edges". Similarly, the false positive rate is calculated by dividing the number of edges in "chosen false edges" discovered in the result set by the total number of edges in "chosen false edges". Thus, a set of coordinates, (𝑓𝑝_𝑟𝑎𝑡𝑒, 𝑡𝑝_𝑟𝑎𝑡𝑒), was obtained and plotted on the axes.