Pattern analysis

Since version 8.1

Introduction

Pattern analysis helps you understand how a target variable's states differ from each other.

For example, you might be interested in:

Auto insight Results

The auto-insight results tab, provides discrimination information between a discrete or continuous target state and the other states of the same variable.

The image below, demonstrates the tool on the 'Simpson's Paradox' example network included with Bayes Server. It clearly shows that 'Department' is the key discriminator of 'Admittance'.

Pattern analysis

Auto insight outputs

Auto insight information is output for each state t of the target variable. (discretized states if the target is continuous). Target states are ordered based on the maximum strength found over the test variables.

Auto insight options

Help for options can be seen directly in the User Interface.

Pattern analysis continuous