I've been reading about the use of OOB Error Rate and its applications and use in Random Forest, for which some curiosity is how I could further use this value in the optimization of my own modelling process.
With this I was curious if it was possible to trace back the splits that are erroneous, thus misclassified. This because I wish to additionally features that can help improve the classification of a specific class.
I already have the OOB values per each class, showing whether some samples that are not used in a specific get classified correctly.
Thus I want to know what these samples are actually being classified as, for which I could add specific genes to enhance that classification.
Thank you in advanced and I hope that this was clear enough.
