Submitted by OutOfCharm t3_zgvr0h in MachineLearning
OutOfCharm OP t1_iziwmbt wrote
Reply to comment by IntelArtiGen in Representation ability of a MLP network [D] by OutOfCharm
That's a point! Would you agree that if with 10 values it is sufficient to fit all the information you need, decreasing the values to e.g. 3 must harm the performance?
IntelArtiGen t1_izj2jc3 wrote
The amount of values must be sufficient and the model must be able to process these values. We could imagine a model which would not perform well with 10 values because it's too much to process but it would perform better with 3 values, even though the "perfect model" would need 10 values to give the best results.
OutOfCharm OP t1_izj3n3j wrote
Thanks for your suggestion.
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