I dimly remember seeing a white paper that compared the algorithm with others on datasets like risk25k, baseball and such. However, after the recent Academy makeover, I was unable to find anything newer than 2010 Chordiant Adaptive Decisioning Paper, which was also only availible in PEGA Mesh.
My question is, does some documentation or white paper exist that outlines the math behind adaptive models?
I am interested in both analytical write-up and accuracy comparison.
Thanks a lot,
***Edited by Moderator: Pallavi to update platform capability tags***