How to resolve errors in Score Jobs?

Basically, there is no correlation found in the model. modelObject$stream(topN = -1) should tell you that if there are like 2 or 3 lines only. My guess is that it has to do with dimension value in setProfile method. It looks like you might have something like setProfile(<OTHER PARAMS>, dimensions = list(c("AgeGroup","Gender","IncomeGroup","MaritalStatus","State","HouseholdSize")))

change it to

setProfile(<OTHER_PARAMS>, dimensions = list("AgeGroup","Gender","IncomeGroup","MaritalStatus","State","HouseholdSize", c("AgeGroup","Gender"),c("AgeGroup","IncomeGroup"), c("AgeGroup","MaritalStatus"), c("AgeGroup","State"), c("AgeGroup","HouseholdSize"), c("Gender","IncomeGroup"), c("Gender","MaritalStatus"),c("Gender","State"),c("Gender","HouseholdSize"), c("IncomeGroup","MaritalStatus"),c("IncomeGroup","State"),c("IncomeGroup","HouseholdSize"), c("MaritalStatus","State"), c("MaritalStatus","HouseholdSize"), c("State","HouseholdSize")))

Basically, in your script you are telling the model to use:

AgeGroup and Gender and IncomeGroup and MaritalStatus and State and HouseholdSize as *one combination* and try to find correlation. This might not have enough support since this could be a too narrow of a marker.

In the change that i have suggested, we are telling the model to use:

AgeGroup or Gender or IncomeGroup, ....

OR

AgeGroup and Gender

OR

AgeGroup and IncomeGroup

OR

etc

This way we try to find correlations for each combination. So the bottom line is that, usually with experiments we have done so far, 2 or max of 3 dimensions as one combination works well. But ultimately it depends on the data.

This might be little confusing at first. And the tutorial does not talk about this actually.