Not an issue, but I would appreciate your suggestion on this.
What would be an appropriate goodness of fit metric for a pltree model, especially to asses prediction power with out-of-sample data?
Is a pseudo R2 (e.g. McFadden, Maddala, etc.) a suitable option? Or is better to use an accuracy metric comparing predicted vs observed rankings?
Not an issue, but I would appreciate your suggestion on this.
What would be an appropriate goodness of fit metric for a pltree model, especially to asses prediction power with out-of-sample data? Is a pseudo R2 (e.g. McFadden, Maddala, etc.) a suitable option? Or is better to use an accuracy metric comparing predicted vs observed rankings?
Many thanks.