effect_size - ChairImpSec/PROLEAD GitHub Wiki
Type
float
Default
0.1
Description
Specifies the magnitude of the effect you want to detect or test for in your statistical analysis. By setting this parameter, you can determine the strength of the relationship, difference, or association that your statistical test is designed to detect.
Impact
We recommend continuing testing until the specified effect size is achieved. PROLEAD calculates the number of simulations required to reach this effect size. Setting a smaller effect size will increase the number of simulations needed, leading to longer runtimes and higher memory usage. Conversely, setting a larger effect size will reduce the number of simulations, resulting in shorter evaluation times, but smaller effects may go undetected. We generally recommend an effect size of 0.1.
Examples
"side_channel_analysis": {
"effect_size": 0.1
}
In this example, the effect size is manually set to 0.1.