PREDICTIVE ANALYSIS OF HIDIMENSIONAL DATA USING REGRESSION

Abstract

The hierarchical structure shows us the comparison across the over bodies and to this is used as the information in the estimation level work for the individual models and also for the group- level parameters. If the group-level predictors is similar to the orebodies, this equality information is used to minimize the exterior parameters which are said to be distributed towards a mine-wide average. The previous distributions in case of model parameters are way more usefully informative and its shapes are explained as the group-level predictors and also the hyperparameters which are also estimated from the data