deutscheaktuarvereinigung / data_science_challenge_2022_python-notebook_zur_erstellung_von_schadenhaeufigkeitsmodellen Goto Github PK
View Code? Open in Web Editor NEWIn this Python notebook, based on a large French. The results are compared and the interpretability of the models is analyzed and evaluated with SHAP and PDP plots. In addition, the four tools TPOT, Auto-Sklearn, H2O and FLAML are tested or used.
License: GNU General Public License v3.0