get_model_results(evaluated_individuals) the evaluated_individuals do not have steps, auc

[tamersalama]

I'm still forming my understanding of the project, trying to run the modelling_and_usage notebook. The
evaluated_individuals.tems() [python 3.x] do not seem to have steps, auc attributes - rather the following attributes: generation, mutation_count, crossover_count, predecessor, operator_count, internal_cv_score

Is it intended eventually to display the internal_cv_score box plot? or does the original function (with steps, auc) display a different values. If so - how/where to get them.