Auto insight

Introduction

Auto insight allows you to easily identify how one state of a variable differs from the others. For example if a model contains a variable Purchase with states True and False, we might be interested in how Purchase=True differs from Purchase=False.

NOTE

For a mixture model, one cluster might perform much better or worse than others, so we might be interested in how this cluster differs from the others.

The auto insight viewer allows us to easily identify the key differentiators, which can be sorted by Difference in order to detect the largest patterns, or Lift to identify anomalies.

Drill-down

Once the first key differentiating states have been identified, you can then perform drill-down, by clicking on the Set button (or Do for interventions), and the calculations will be repeated, this time with additional evidence set on that state.

Auto insight

Use network evidence

When Use network evidence is selected, any evidence set on the network before opening the auto insight viewer will be used in the subsequent calculations.

Output columns