Message-ID: <CA+8X3fWrnRJf03QuJJm_UeFV4TuBzYx-4MmCTQ8okcm6siXrcQ@mail.gmail.com>
Date: 2022-02-28T22:14:29Z
From: Jim Lemon
Subject: How to perform statistical test with multiple variables
In-Reply-To: <CA+nrPnu7nzs1K9wLL+ScCWoReM8qVA+UsNQPEmUWf=ajqgeyXQ@mail.gmail.com>
Hi neha,
Ouch! I've just been run over by homework. What you are probably being
asked to do is an "omnibus test", but I can't figure out what you are
actually testing. Maybe that phrase will help you in _your_ search for
the answer.
Jim
On Tue, Mar 1, 2022 at 8:56 AM Neha gupta <neha.bologna90 at gmail.com> wrote:
>
> Hello everyone,
>
> I have 'mean absolute error' values from different folds of CV of 6 ML
> models..
> a= c(0.3, 0.5, ..... 0.4)
> b= c(0.4, 0.6,...... 0.2)
> ....
> ..
> f= c(0.1, 0.4, .....0.5)
> Now algorithm 'a' performed better than all the others (in terms of mean
> absolute error scores) and then I used wilcoxon signed rank test to compare
> 'a' with all other models for significance difference.
>
> Now, I have been asked to compare all the models with all others for
> significant differences at once and not compare one with the other, how can
> I do it, plz guide me? At this time, I just know about the Wilcoxon signed
> rank test.
> Regards
>
> [[alternative HTML version deleted]]
>
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