How to explain the information from a visualized uplift tree ?

[00helloworld]

Hi, I'm confused about the uplift score showed in the visualized tree.
In uplift_tree_visualization.ipynb it said that uplift score: the treatment effect between treatment and control (when there are multiple treatment groups, this is the maximum of the treatment effects). So I think the uplift score of the leaf node in this picture should be 0.63-0.44=0.19. But the uplift score in the picture is 0.2458.
How to explain that and is my calculation right or not?
Thanks

[jeongyoonlee]

cc: @zhenyuz0500, @t-tte, @paullo0106

[00helloworld]

Thanks a lot! Waiting for some explanation.

[paullo0106]

we might need to take a closer look into UpliftTree, the uplift score in the tree plot is what we have in nodeSummary but results saves something different and it's used in the last row in the plot for the mean of each class.

some other notes

• This issue doesn't seem to happen to the root node.
• This gap seems to be there for a while, as shown in some of the early uplift tree plots

cc: @jeongyoonlee

[paullo0106]

the gap comes from n_reg, the regularization parameter where we can also make it consistent to avoid confusion in the uplift tree visualization

for example, the numbers would look aligned if we pass in n_reg = 0 (default is 100)

[00helloworld]

Thanks a lot!!!!
That's so helpful ！