1. A system for support vector machine processing, the system comprising: a database management system that includes persistent storage for data stored in the system, one or more CPUs, and memory for storing program instructions executed by the one or more CPUs to perform functions of the database management system; a build unit residing in memory and operable to build a support vector machine model on at least a portion of the data stored in the system, the portion of the data selected using a stratified sampling method with respect to a target distribution; and an apply unit residing in memory and operable to apply the support vector machine model using the data stored in the system; wherein the stratified sampling method is performed for a classification method by balancing a sample during an initial read of the data, and balancing the sample during creation of a pool of data; and wherein the balancing of the sample during the initial read of the data is performed by randomizing a data cursor with respect to an order of presentation of the data, and representing an individual target value with a predefined number of examples large enough to represent characteristics of the data, when that number of examples is available.