Run main.py You can find SHAP tutorials and produce the output graphs for various ML algorithms here: # For SVM, Tree, and other ML algorithms (not Neural Networks) using the wine example with graphics here: https://towardsdatascience.com/explain-any-models-with-the-shap-values-use-the-kernelexplainer-79de9464897a # More Elegant Charts: https://medium.com/dataman-in-ai/the-shap-with-more-elegant-charts-bc3e73fa1c0c # For DeepExplainer and images! https://towardsdatascience.com/deep-learning-model-interpretation-using-shap-a21786e91d16
Relative0/Synthetic_Tabular_Analytics
Synthetic Questionnaires are created and various machine learning algorithms are used with SHAP for analytics.
Python