Should I see a decision tree in the ROC chart with default threshold of 0.5?

hscheelhscheel Member Posts: 1 Newbie
edited November 2021 in Help
I'm running the "Hotel App Performance Measurement Solution" process from TrainingResources.  I thought I understood the ROC concept but now I am confused about that specific example. From the confusion matrix (pasted at the bottom below) I think the FPR is 6% and the TPR is 33%, which I find on the ROC (black lines crossing at (6%; 33%).  But then I thought that RapidMiners binary classification threshold is 0.5, and the ROC point corresponding to a threshold of 0.5 is more around (10%; 43%), as indicated by the green lines below.

Does this mean 0.5 is not the classification threshold used in this example? Or am I missing something else?

Any hint is greatly appreciated!

Thank you!

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