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Learning Curves: Cost Functions
I am trying to assess bias and variance for my classification problem. As such, I am trying to plot the cost functions J(Theta) for testing and training vs. number of examples to determine if I have high variance or high bias. How can I do this in RapidMiner? Alternatively, are there operators that let me visualise bias vs. variance?