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different validation performance parameters in LOG?
I have several performance parameters for validation to choose in the log operator, see screenshot:
can someone explain to me where the difference is in the different performance operators? because I have only 1 performance operator in my design..
and can someone please tell me, if I should use the normal Performance operator for k-nn, or some cluster-performance operator? which is better?
I would like to see possible cluster outliers and be able to tag my data points with the label class color... but my dataset has 20+ attributes, is that still possible to visualize k-nn somehow?