Defining Decision tables to Explain Predictive Models

Predictive models (once trained) can execute very fast but they do not provide any explanation of how they arrived at the result.

The idea here is to build (automatically) a decision model using the same data that was used to train the predictive model

This will make the rules explicit.

This type of table is not one that a user would create by hand. Its an automatically created decision table.

The decision table is created from the same data that is used to create a predictive model and can be used for two purposes:

1. To explain the reasoning that is contained in the predictive model