For which set of values of predictors (numerical) will my response variable (factor) be guaranteed to equal a certain level (using Random Forest)
I am going to explain it on base of the
Goal --> I need to get as many species of
setosa as possible
The way --> i must find the best (representative) combination of:
"Sepal.Length","Sepal.Width","Petal.Length","Petal.Width" values, which identify only setosa and not any other species.
I would appreciate any help as i cannot find any hint or way how to handle this problem.
--> mean of the parameters set in the group of setosa is not sufficient! (as in my original dataset the difference between groups are not that clear!)
To get a bit background of my real problem is that i have different temperature sensors at different points in the production line, and i must identify which combination of those temperatures leads to good quality product, and which combination leads to bad quality product, i think it is very simple to understand. We must find best combination of temperatures and try to achieve it at the production.
I have found a similar question on cross validated (but my target value is a factor, not numeric as in this case, but the main princip is the same:
How would I be able to find for which values of inputs do i get the setosa target variable
), however it has not been answered.