Closed sfregosi closed 5 months ago
Yes, that is a correct interpretation of the last column that summarizes the distribution of assignment scores. This case is one that illustrates why I include that metric in the output as you also have perfect classification for that class. To confirm this (and understand more about the assignment probability distribution) use the plotVotes()
function.
Ok, great. Glad I was on the right track. Thank you!
Hi @EricArcher,
I was working through the Banter Guide (accessed via the package that directed me here: https://taikisan21.github.io/PAMpal/banterGuide.html#242_Random_Forest_Summaries) and noticed a possible issue (or an error in interpretation on my part!)
In section 2.4.2 > Confusion Matrix, where it has the example with the 0.8 threshold, the numbers in the last column (
Pr.gt_0.8
) don't match what is written in the text below that.In running my own model through this same snippet of code I also get extremely small numbers for one species (1.2e-119), then near 1 (9.9e-1) and exactly 1 for the Overall value.
I was going to interpret this as a very low probability that a X33 event will be predicted as X33 with a score >0.8, but a very high probability that an X577 event will be predicted as X577 with a score >0.8. Is that correct?
Thank you! Selene