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Synthetic Questionnaires are created and various machine learning algorithms are used with SHAP for analytics.

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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

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Synthetic Questionnaires are created and various machine learning algorithms are used with SHAP for analytics.


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