Patent ID: 8250009

Claim:
A computer-implemented system comprising: one or more computers; one or more data storage devices coupled to the one or more computers, storing: a repository of training functions, a predictive model repository of trained predictive models, including a plurality of updateable trained predictive models, and wherein each trained predictive model is associated with an effectiveness score that represents an estimation of the effectiveness of the respective trained predictive model, and instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving over a network a series of training data sets for predictive modeling from a client computing system, wherein training data included in the training data sets is different from initial training data that was used with a plurality of training functions obtained from the repository to train the trained predictive models stored in the predictive model repository; using the series of training data sets, a plurality of trained updateable predictive models obtained from the predictive model repository and a plurality of training functions obtained from the repository of training functions to generate a plurality of retrained predictive models; generating an effectiveness score for each of the plurality of retrained predictive models; selecting a first trained predictive model from among the plurality of trained predictive models included in the predictive model repository and the plurality of retrained predictive models based on their respective effectiveness scores; and providing access to the first trained predictive model over the network.