Trouble with Applying a Linear Regression Model with Nominal Attribute
I build a linear regression model with nominal attribute converted to numerical attribute (e.g. SMOKE=0, SMOKE=1). I tried both effect encoding and dummy encoding. Then I tried applying this model to a testing dataset in which the value of SMOKE attribute in all observations is 0. Rapidminer says "attributes do not match". How can I solve this?