4. The computer-implemented method of claim 3 , further comprising: receiving a second training data set; and determining that the second training data set has one or more characteristics that are similar to the one or more characteristics of the training data set.
4. The computer-implemented method of claim 3 , further comprising: receiving a second training data set; and determining that the second training data set has one or more characteristics that are similar to the one or more characteristics of the training data set. 6. The computer-implemented method of claim 4 , further comprising applying the filter or combination of filters associated with the most accurate predictive model to the second training data set based on determining that the second training data set has one or more characteristics that are similar to the one or more characteristics of the training data set.