SUMMARY: Automated modeling is already in focus by practitioners. However, applications for marketing campaigns require significant effort in data preparation for modeling. To address this bottleneck, the robotic modeler integrates a front layer, which automatically scrolls all executed campaigns and prepares data ready for modeling, with a machine learning engine. It enables for a totally automated cycle of campaign backend modeling, generates a scoring code, and produces supportive documentation. The robotic modeler framework supports generalized deep learning assembling business targets and features. Systematically running the robotic modeler provides additional benefits such as perceiving input feature importance from various
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