Report specificity, sensitivity etc for binary classification with -test #57
Description
I made a small patch on my own fork to report a little bit more data with -test when growforest is finishing. It looks like this:
Error: 0.06121835978431722
Accuracy: 48510 / 51673 = 0.9387881485495326
True Negatives 24999 / Total Negatives 26585 = Specificity (True Negative Rate) 0.940342
True Positives 23511 / Total Positives 25088 = Sensitivity (True Positive Rate) 0.937141
True Positives 23511 / Predicted Positives 25097 = Precision (Positive Predictive Value) 0.936805
True Negatives 24999 / Predicted Negatives 26576 = Negative Predictive Value 0.940661
F1 Score: 0.936973
I didn't make a PR because in my little patch I just assumed I was performing classification with 2 categories (it's what I always do) and didn't check if this was really the case.
Would this be useful in general? If so, I can add the checks to run this only when it makes sense and submit it.