[Biomod-commits] Convergence problem with GLM
damien.georges2 at gmail.com
Fri Jun 14 17:18:25 CEST 2013
For the way non-converging GLM are handle within biomod, you are right :
- only a warning is printed
- they are included in ensemble models
For the question of whether they should be keep or not... I don't really
know.. but I would say that we can keep them if they are "good enough"
(SRE models return also binary prediction and they are kept for
ensemble-models building). Moreover, putting a threshold for models
selection at ensemble-modelling step should prevent you from keeping
I'm also interested in what people think about it.
Waiting for other comments,
All the best,
On 14/06/2013 16:26, frank.breiner at wsl.ch wrote:
> Hi all,
> when having only few presences and the ratio of the number of predictors
> to the number of presences is far from the recommanded 1/10 rule, GLM
> models often do not converge. This could result in binary predictions as
> shown in the attached figures.
> How is the problem handled in Biomod? I think there is only a warning that
> the Model did not converge but the non-convergence models are also
> included in the ensemble. Correct?
> As you can see from the figures the non-convergence GLM (top left) output
> fits with the predictions of GBM (top right) and Maxent.(bottom left).
> Bottom right is a self made Ensemble including also GLM.
> For me it would make sense to include GLM output in the ensemble as the
> trend is the same. Does Biomod keep non-convergence models for the
> ensemble? What do you think? Keep it or remove it?
> By the way: AUC values for the shown models suggest that GLM is not a bad
> GLM: 0.981
> GBM: 0.998
> MAXENT: 0.997
> Ensemble: 0.998
> Looking forward to your responses.
> Frank Breiner
> Eidg. Forschungsanstalt WSL
> Biodiversität & Naturschutzbiologie
> Zürcherstrasse 111
> CH-8903 Birmensdorf
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