Find more posts tagged with
Sort by:
1 - 3 of
31
Sort by:
1 - 1 of
11
Hi,
those algorithms usually answer the question:
What would be the result of the model, if the value for this variable (and sometimes the other variables) is not what it is, but distributed like the rest of the data?
So for your first row, If a2 changes, then your prediction will change in average by 38.647. The difference between the algorithms is how to define a 'change'.
Best,
Martin
What would be the result of the model, if the value for this variable (and sometimes the other variables) is not what it is, but distributed like the rest of the data?