Restricting the values predicted by Decison trees in R to certain columns -

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i have dataset related cricket following structure:

(matchid,venue,team1,team2,mr,mrn,mw,or,orn,ow,winner)  mr : runs scored home team after 14 overs. or : runs scored away team after 14 overs. mrn: run rate of home team after 14 overs. orn: run rate of away team after 14 overs. mw:  number of wickets lost home team after 14 overs. ow : number of wickets lost away team after 14 overs.

convention: team1 home team , team2 away team.

i trying predict winner of match above data. using 70% of data training data frame train_data , other 30% testing data frame test_data using decision trees in r. test_data has been stripped off winner column. function calls follows:

output.tree <- ctree(winner ~ venue + team1 + team2 + mr + mrn +  mw + or+ orn + ow, data = train_data) #to create decision tree.  testpred <- predict(output.tree, newdata = test_data[,1:(ncol(test_data) - 1)]) #use decision tree prediction

note obviously, winner of match has 1 of team1 or team2. on analyzing predicted values, found out predicted winner match maybe team neither team1 nor team2.

how enforce constraint predicted value must 1 of team1 or team2?


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