Hi,
Currently, class prediction / assignment is based on a fixed class probability threshold of 0.5, a not so practical value for real world classification applications. For now, class prediction can be changed a posteriori to the predictor node using Rule Engine. While this provides at least a working solution, the latter can be inconvenient due to the need to manually provide the possible values of the target variable, which is a source of error, and in addition unpractical when the target variable has more than two possible outcomes.
Cheers,
George