Predictive modeling is a process that is using advanced statistics and probability algorithms to predict outcomes, based on a pretrained and built model or function. These algorithms can be groups in a family of algorithms based on the outcome of the predicted variable. The outcome is usually the forecasted value that explains the future behavior. Several variables or input data consist of a mathematical function, also called the model (hence also data modeling), and these input data are trying to explain or predict the outcome. To better understand predictive modeling, the chapter will consist of the following topics:
- Data modeling
- Advanced predictive algorithms
- Predictive analytics
- Deploying and using predictive solutions
- Performing prediction with R Services in SQL Server database
The focus in this chapter will be on delivering insight into understanding...
