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Statistical evaluation of the results #481

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mlaky88 opened this issue Mar 4, 2024 · 2 comments
Open

Statistical evaluation of the results #481

mlaky88 opened this issue Mar 4, 2024 · 2 comments

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@mlaky88
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mlaky88 commented Mar 4, 2024

It would be great if the results could be statsticially evaluated after all experiments are done. At least the Friedman and Wilcox tests?

I think it should be made possible that results of other algorithms could be supplied in order to do the statistical test? For example if I would have my own algorithm for optimization, and would not be bothered to include it into the Niapy library, I would like to have an option to provide my own results in a specific format, which could be used in statistical evaluation against the algorithms in Niapy. I hope I made sense.

@rhododendrom
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+1

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@firefly-cpp
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+1

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