13. An apparatus for generating a classifier model, the apparatus comprising: a memory device having executable instructions stored therein; and a processing device, in response to the executable instructions, operative to: define a plurality of predictive performance measures based on a leave one out (LOO) cross validation in terms of selectable model parameters; derive efficient analytical expressions by approximating one or more analytical expressions based on the plurality of predictive performance measures to compute a LOO predictive performance; select a classifier model based on the LOO predictive performance; and classify web content using the selected classifier model.
13. An apparatus for generating a classifier model, the apparatus comprising: a memory device having executable instructions stored therein; and a processing device, in response to the executable instructions, operative to: define a plurality of predictive performance measures based on a leave one out (LOO) cross validation in terms of selectable model parameters; derive efficient analytical expressions by approximating one or more analytical expressions based on the plurality of predictive performance measures to compute a LOO predictive performance; select a classifier model based on the LOO predictive performance; and classify web content using the selected classifier model. 14. The apparatus of claim 13 wherein the classifier model selection is done using at least one of: a standard optimization technique and the standard optimization technique with an expectation-maximization technique.