PREDICTING OUTCOMES OF A MODELED SYSTEM USING DYNAMIC FEATURES ADJUSTMENT

摘要

Techniques are disclosed for predicting outcomes of a system modeled on analytical data related to website-related metrics by dynamically adjusting one or more input or output variables. A regularized singular value decomposition technique can be used to estimate missing data. The completed data set can be used to model the performance of the website and to predict various outcomes by changing one or more of the input or output variables. The effect of varying one or more input variables on an output variable can be computed using regression analysis and/or a Random Forests® framework to estimate the relationships between the variables in the model. The effect of specific changes to one or more input variables on one or more output variables can be computed. The amount of change to an input variable needed to achieve a specific change in an output variable can be computed using regression analysis.