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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…
I have two attributes: "Data" with binomial values "Y" and "N", and "Predicted" with real values between 0 and 1. I want to apply a threshold to the "Predicted" attribute to convert it into binomial values, then test its accuracy against the "Data" attribute. to use the operator "Apply Threshold", I had to make two real…
The auto model we created uses GBTree and produces a confusion matrix. We would like to see what threshold it had used for creating this matrix. Is there a way to view the threshold used?
Supposedly, I need to build classifier with high precision and low recall. Which operator should I use in RapidMiner? For example, ApplyModel operator doesn't support any intervention in threshold? It's also unclear how the same ApplyModel operator works with models of different modeling: NeuralNetworks, SVN, etc.