1. A method comprising the steps of: collecting, over a network, a plurality of search engine result pages; determining, using at least one computing device, a target page success metric for each of the plurality of search engine result pages; training, using the at least one computing device, a plurality of machine learned page success metrics using a first subset of the plurality of search engine result pages and each result page's respective target page success metric, wherein each of the machine learned page success metrics is trained to predict the target page success metric for each of the first subset of the plurality of search engine result pages; predicting, using the at least one computing device, using each of the plurality of machine learned page success metrics, a predicted target page success metric for each of a second subset of the search engine result pages; evaluating, using the at least one computing device, the accuracy of each of the plurality of machine learned page success metrics in predicting the target page success metric associated with each of the second subset of search engine result pages; and outputting, using the at least one computing device, a representation of the accuracy of the of each of the plurality of machine learned page success metrics to a display medium.