Hi All,

We are planning to enable Impact Analyzer in PEGA CDH.

As a first use case, trying to see how setting percentage in experiments are working?

We gave say 2% each for all the 5 OOTB Experiments and expecting to get 10% total population with "Control" Model Control Group and rest 90% with "NBA" Model Control Group.

With this changes, we are not able to see customer interactions with 10% Control, its is quite less than that.

Also, we are seeing NBA/Test/Control.

As per understanding, NBA is with pypropensity, test is with pymodelpropensity and control is with Random Propensity,

with these, shall we disable test as we would need pypropensity and random interactions?

for that, tried giving (100,0) as SpiltPercentage in "Experiments" DDS but doesnt seems to be working.

Please correct here if anything is wrong.

Ps:

1) All the 5 Experiments are active.

2) 2% is assigned to each experiments (total=10)

Please do the need full. Thanks!