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Predictive Modeling in Insurance with SAS by curiousdumbo is a document available to read on EtoBox.

What is Predictive Modeling in Insurance with SAS about?

The document discusses using SAS software to build predictive models for insurance companies. Specifically, it addresses predicting insurance claim losses and detecting insurance fraud. For loss prediction, regression models can be used to predict continuous outcomes like claim costs. For fraud detection, classification models like logistic regression or decision trees can predict a binary fraud/no fraud outcome. The document provides an example of using SAS Enterprise Miner to build a fraud detection model

Author

curiousdumbo

Language

EN