[Biomod-commits] Weight in ensemble forecasting

[Kumar Mainali]

Hello modelers,

I have my DataSplit set at 100 and have a separate test file. This gives me
no cross.validation score but it gives me independent data score
(indepdt.data in Evaluaiton.results.Roc). I set weight.method='Roc' for the
function Ensemble.Forecasting. How the software computes ensemble
probabilities is not clear in the manual. But somewhere I came across the
information that the weights are based on cross validated evaluation score.
Since I do not have such score, the function should not work. Instead, it
gives me weight:

$weights
    ANN CTA    GAM    GBM   GLM MARS FDA     RF SRE
PA1   0   0 0.1729 0.2766 0.108    0   0 0.4425   0

Where are these weights coming from? These numbers do not match with any
column in Evaluation.results (after rescaling to make the total =1).
https://r-forge.r-project.org/scm/viewvc.php/pkg/R/Ensemble.Forecasting.R?view=markup&root=biomod&pathrev=168


Thanks in advance,
Kumar
-- 
Section of Integrative Biology
University of Texas at Austin
Austin, Texas 78712, USA
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