Osteoarthritis (OA) is the commonest form of musculoskeletal disability. Surgery is usually used to manage the end stage of the disease taking the form of either total joint or unicompartmental replacement. The outcome of such surgeries however could be disappointing. This work aims to exploit machine learning [1] to predict the effectiveness of surgery with respect to return to normal activities, as assessed using the Tegner activity score.