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Re: st: Accuracy table after mlogit
From
tzygmund mcfarlane <[email protected]>
To
[email protected]
Subject
Re: st: Accuracy table after mlogit
Date
Tue, 26 Jul 2011 10:22:55 -0700
You can do this by hand. I first show how you can recreate the -estat
classification- results for -logit- (not all the concomitant
statistics, but you can do those easily as well), and then follow the
same procedure for -mlogit-. Note that the way the predicted choices
are computed (the choice corresponding to the maximum predicted
probability) is in no way the only way to compute predicted
multinomial choices:
/**************************/
// logit
webuse lbw, clear
logit low age lwt i.race smoke ptl ht ui
estat classification
predict prob
g pred_choice = (prob >= 0.5)
tab pred_choice low // recreate -estat classification-
// mlogit
webuse sysdsn1, clear
mlogit insure age male nonwhite i.site
predict prob*
egen pred_max = rowmax(prob*)
g pred_choice = .
forv i=1/3 {
replace pred_choice = `i' if (pred_max == prob`i')
}
local insure_lab: value label insure
label values pred_choice `insure_lab'
tab pred_choice insure
/**************************/
This is what is typically called the confusion matrix.
T
On Tue, Jul 26, 2011 at 7:02 AM, <[email protected]> wrote:
> Hi all,
>
> I can't get an accuracy classification table after running a simple multinomial regression (mlogit).
> After a normal logit regression I simply type
>
> estat classification
>
> and it works. But after mlogit I type in the same thing and I get:
>
>
> . estat classification
> invalid subcommand classification
> r(321);
>
> Is there a special command I should use for mlogit in order to get this kind of accuracy table?
>
> Many thanks,
>
> Natacha
>
>
>
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