I am not sure what the y-axis of my PDP implies? Is that the probability for my target feature to be 1 (binary classification) or something else?
If you do the partial dependence plot of column a
and you want to interpret the y value at x = 0.0
, the y-axis value represent the average probability of class 1
computed by
a
in all rows in your dataset to 0.0
I may not good at explaining but you can read more about PDP at https://christophm.github.io/interpretable-ml-book/pdp.html. Hope this help :)