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I am working on a basic Neural network and want to show performance of model with respect to different parameters.Here is my dataframe looks like.

I need help with suggestions for impactful visualizations. I can not make countourplots as far as I understand because for that I have to define loss as a function of the parameters. Please suggest some interesting plots.

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  • $\begingroup$ Simple visualisations can be effective, so I suggest plotting the parameter of interest against the performance using a line plot or bar chart. $\endgroup$
    – Lynn
    Sep 25 at 12:20

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You can use a "Parallel Coordinates" plot, in which

  • A model is represented by a line
  • Model performance is highlighted in colour
  • Model hyper-parameters are presented in axes along with their respective values.

I attach below an example which you can generate either using Tensorboard or tools like Weights & Biases.

You can find here and here resources on how to implement this representation for each of the tools above, respectively.

Hope this helps, good luck!

enter image description here

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