Description
Predicting user actions is a challenging and important part of any online advertising business. The rarity of some user actions introduces problems of class skew, overfitting, and data censoring to modeling efforts. This presentation will delve into the business problem and walk through an example of fitting a predictive model to online advertising data provided by Maxpoint.