We apply integration over the dropout probabilities to the semi-continuous mixture evaluation model. We thus obtain the LR as a weighted average over all dropout probabilities. We show we accurately recover the LR that would be obtained with the correct parameters. The method further objectifies mixture evaluation by being data driven. We lessen the need for expert assessment of dropout probabilities and the number of donors.