1. During an analysis configuration, you can select the **Advanced Settings** icon (gear shape) to tune Sisu output further.

2. Within the Advanced Settings modal, you can adjust Sisu’s sensitivity in finding facts:

**Min size**: This is the minimum size (percentage of rows) that a subgroup must have for it to show up as a fact.

- For example, if there are 100,000 rows in the data set, a subgroup will appear as a fact only if it contains at least 100 rows (0.1% of 100,000 rows).
- For small data sets in particular, reducing this setting can help make more facts appear in the analysis result.

**Confidence level**: Sisu tests for statistical significance for all the subgroups within the data set and only surfaces ones that pass the test. By default, the confidence level is set at 95% (or p-level at 0.05). For smaller data sets, you can decrease this level down (even to 50% or 0%) to see more facts that may not be statistically significant.**Max order**: For very large data sets, you may only want to look at Order 1 or Order 2 facts. Order 1 facts are single factor-value pairs,*e.g. country = Canada*. Order 2 facts are dual factor-value pairs,*e.g. country = Canada & gender = F*.

For each order, Sisu returns the top 200 facts with the greatest % difference from the overall metric (or overall metric change for Comparison Analysis) and the top 200 facts with the greatest impact in terms of absolute magnitude.