18. The one or more computer storage devices of claim 12 , further comprising instructions that, when executed by one or more processing devices, cause the one or more processing devices to perform operations comprising: training an unfiltered predictive model based on the training data set, the unfiltered predictive model being trained without an application of the one or more filters; and determining a level of accuracy associated with the unfiltered predictive model.
18. The one or more computer storage devices of claim 12 , further comprising instructions that, when executed by one or more processing devices, cause the one or more processing devices to perform operations comprising: training an unfiltered predictive model based on the training data set, the unfiltered predictive model being trained without an application of the one or more filters; and determining a level of accuracy associated with the unfiltered predictive model. 21. The one or more computer storage devices of claim 18 , further comprising: determining that the most accurate predictive model is the unfiltered predictive model; identifying one or more characteristics of the training data set; receiving a second training data set; determining that the second training set has one or more characteristics that are similar to one or more characteristics of the training data set; and training each of one or more predictive models using the second training data set without an application of a filter or combination of filters to the second training data set.