evoltree
evoltree
Both variants evolve variable-length DTs and perform a simultaneous optimization of the predictive performance (measured in terms of AUC) and model complexity (measured in terms of GE tree nodes). To handle big data, the GE methods include a training sampling and parallelism evaluation mechanism. Both variants both use PonyGE2 as GE engine, while EDTL uses sklearn DT. Solutions are represented as a numpy.where Due to this representation, current evoltree implementation only allows numerical attributes.
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