{"id":15353,"date":"2018-05-13T09:15:02","date_gmt":"2018-05-13T09:15:02","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=15353"},"modified":"2021-12-05T21:57:58","modified_gmt":"2021-12-05T16:27:58","slug":"sas-predictive-modeling","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/sas-predictive-modeling\/","title":{"rendered":"Top 5 SAS Predictive Modeling Procedure – You Must Know"},"content":{"rendered":"

We looked at different types of analysis and the procedures used for performing it in the previous SAS\/STAT tutorial<\/strong>, today we will be looking at another type of analysis, called SAS Predictive Modeling. In this tutorial, we will study introduction\u00a0to Predictive Modeling with examples.<\/p>\n

Moreover, we will further discuss how can we use Predictive Modeling in SAS\/STAT or the SAS Predictive Modeling Procedures:\u00a0PROC PLS, PROC ADAPTIVEREG, PROC GLMSELECT, PROC HPGENSELECT, and PROC TRANSREG with examples & syntax.<\/p>\n

So, let’s begin with SAS\/STAT Predictive Modeling.<\/p>\n

What is SAS Predictive Modeling?<\/h3>\n

Predictive modeling<\/em>\u00a0is a process that forecasts outcomes and probabilities through the use of data mining<\/strong>. In this, each model<\/em>\u00a0is made up of a specific number of predictors, which are variables<\/strong> that help in determining as well as influencing future results. Once all the data has been collected for the required number of relevant predictors, a statistical\u00a0model<\/em>\u00a0is formulated.<\/p>\n

In SAS Predictive modeling,<\/em>\u00a0the\u00a0model<\/em> is chosen on the basis of a detection theory that tries to guess the probability\/possibility of an outcome given a specific amount of input data, say for example if given an email sent through predictive modeling, we determine how likely it is that it is spam.<\/p>\n

Procedures for Predictive Modeling in SAS\/STAT<\/h3>\n

Following procedures are used to compute SAS\/STAT Predictive Modeling of a sample data. Let us explore it.<\/p>\n

a. PROC PLS<\/h4>\n

The PLS procedure in SAS\/STAT is used to fit models through the use of linear predictive methods. Apart from fitting models, the techniques used in the PLS procedure have another goal of accounting for any variation in the predictors.
\nThe techniques implemented using the PLS procedure are:<\/p>\n