Dear All,
I am modelling a phenomenon using Geostat Analyst particularly the Kriging technique. I generated several models and is using the cross validation comparison to determine the best model (out of more than 20 models that I have generated). What I am doing is comparing the prediction error parameters (e.g. root mean square, everage std. error, etc.) of one model against the other. However, as I have many models, the process is taking some time. I would compare them two by two (manually) and then compare the best output with the other models.
I wonder if there is any other way (technique or method - using all the models at the same time and not two by two as I am currently doing) to facilitate the comparison between models that will result with the best option.
Thank you so much for any help you could give.
Cheers,
Eif
I am modelling a phenomenon using Geostat Analyst particularly the Kriging technique. I generated several models and is using the cross validation comparison to determine the best model (out of more than 20 models that I have generated). What I am doing is comparing the prediction error parameters (e.g. root mean square, everage std. error, etc.) of one model against the other. However, as I have many models, the process is taking some time. I would compare them two by two (manually) and then compare the best output with the other models.
I wonder if there is any other way (technique or method - using all the models at the same time and not two by two as I am currently doing) to facilitate the comparison between models that will result with the best option.
Thank you so much for any help you could give.
Cheers,
Eif
see http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#//00300000000z000000.htm
Steve