1. A computerized method for generating a classifier model, the method comprising: defining a plurality of predictive performance measures based on a leave one out (LOO) cross validation in terms of selectable model parameters; deriving efficient analytical expressions by approximating one or more analytical expressions based on the plurality of predictive performance measures to compute a LOO predictive performance; selecting a classifier model based on the LOO predictive performance; and electronically, classifying, via a processing device, web content using the selected classifier model.
1. A computerized method for generating a classifier model, the method comprising: defining a plurality of predictive performance measures based on a leave one out (LOO) cross validation in terms of selectable model parameters; deriving efficient analytical expressions by approximating one or more analytical expressions based on the plurality of predictive performance measures to compute a LOO predictive performance; selecting a classifier model based on the LOO predictive performance; and electronically, classifying, via a processing device, web content using the selected classifier model. 3. The method of claim 1 , wherein when the classifier model relates to a Gaussian Process (GP), the method further comprises: deriving the efficient analytical expressions using Laplace and expectation propagation approximations.