It reads
Quote:
"... values ...outofsample classification error obtained for the model chosen in each of the above two experiments, respectively"

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So there are 2 questions:
1. "Chosen model" means models which we chose using validation (in Q1 and Q3)? Or models, chosen on basis of Eout (Q2 and Q4)?
2. How should we evaluate Eout here, in Q5  just take Eout from results of Q2 and Q4? Or using chosen model, train the model on the whole D (in.dta) again and evaluate Eout on out.dta?