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We repeated this analysis for all six alternative parameter configurations (see Materials and Methods).
c A more complex DAG connects different parameter configurations.
Visual representation of configuration hierarchies : JC-RM guides the user in creating a hierarchy of parameter configurations for a model.
The following parameter configurations were used in this study: "Basic configuration": a = 1.3, IR = 0.02, RL = 350.
To this end, we tested the basic parameter configuration as well as six alternative parameter configurations, each of which differs from the basic parameter set by the value of one parameter (see Materials and Methods).
In our case, these could correspond to 125 possible parameter configurations.
Using GP, they were finally computed over all possible parameter configurations.
The question is now whether or not some of these parameter configurations are better than others.
under different parameter configurations, where the performance is measured in terms of HL, maF1, and miF1.
Many more results, under different parameter configurations, are given in the Additional file 1.
When | RMAX| = 50%, most parameter configurations yielded similar performance, except when SLOPE ≤ 0.5.
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