🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤
We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.
Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!
"[SOLVED] Plotting ROC curves from separate, saved performance vectors"
I have trained several classification models using 5-fold X-Validation, some of which required quite some time to finish and I have saved all of the models and their respective performance vectors. I was wondering if there is any way to merge these performance vectors so that I can plot the ROC curves from each performance vector on the same plot for comparison. I am aware of the Compare ROC function however I do not want to re-train the models on the data.
Will placing the saved models in the Compare ROC function provide the correct output?
I was able to get an output by connecting a data set to the compare ROC and placing the saved models in the Compare ROC, with the model out connected directly to the compare ROC model outs. I am not sure if this is providing the result I am looking for