We know that randomForest is a classification model. Let's say I have 2 classes A, B , and after run
randomForest model (particularly I used R, but it does not matter).
Assume that I have a result:
A B A 29 2 B 3 40
The columns are prediction and rows are actual classes.
My question is, could I get the matching score of each element. For instance, for 32 elements which are predicted 'A', could I rank them based on matching score, from the element that is predicted highest match to A, to the lowest match.
I am sorry if my English explanation is not very clear. Let me know if it is the case and I will try to explain more details.
(The question is: randomForest predicted 32 items as class A, and 42 items as class B, but it does not tell me how much score it gives for each item. For instance, I hope that I can have some information like: the model predict item_1 with 98% belongs to class A, and item_2 with 90% belongs to class A, and so on ...)