Compare Test and Training error of SVM, decision tree and neural network
I found this old thread (https://rapid-i.com/rapidforum/index.php/topic,721.0.html) that illustrates how to visualize the training and test error for an SVM based on the C parameter. Is ist also possible to log the errors for decsion trees and neural networks with the same log operator to display all of them in one chart? Which criterion would you use for the log operator to make it compareable?
By the way, do you know if there is an option to calculate the bias and variance of the dataset in RapidMiner without an R script?
Thanks in advance and kind regards,