Forest-based Classification and Regression explanatory variable error

Hope-Hauptman — Tue, 27 Jul 2021 21:50:22 GMT

I am trying to use the Forest Based Classification and Regression tool in ArcGIS pro to predict a continuous output variable. All of my explanatory variables (save one) are categorical. When I run the tool I get this error:

ERROR 120206: The explanatory variable, dbcp_sjv_allyears_xy.gm_result,tcpsummary_rf.maj_soildrainage_code,tcpsummary_rf.f1945majlu_num, does not exist or is invalid.

I have tried unchecking the categorical box next to the variable (Even though they are indeed categorical) but same result. The categorial variables are not a text field but are numerical (long) - does this make a difference?

I could not find a good resource to guide me on how to prepare data for the RF model in ArcGISPro and I know my table is a bit cluttered but I am attaching in case it helps?

From CSV -

Variable to predict: TCPSummary_RF.TCPConcLast (column G)

Explanatory variables:

Categorical:

TCPSummary_RF.F1945MajLU_Num

TCPSummary_RF.F1960MajLU_Num

TCPSummary_RF.F1990MajLU_Num

TCPSummary_RF.F2005MajLU_Num

TCPSummary_RF.HSGDescription

TCPSummary_RF.Maj_SoilDrainage_Code

Continuous:

DBCP_SJV_allyears_XY.GM_RESULT

topic Forest-based Classification and Regression explanatory variable error in ArcGIS Spatial Analyst Questions

Forest-based Classification and Regression explanatory variable error