NHANES survival model with XGBoost and SHAP interaction values- Using mortality data from 20 years of followup this notebook demonstrates how to use XGBoost andshapto uncover complex risk factor relationships. Census income classification with LightGBM- Using the standard adult census income dataset, ...
@inproceedings{lou2012intelligible, title={Intelligible models for classification and regression}, author={Lou, Yin and Caruana, Rich and Gehrke, Johannes}, booktitle={Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining}, pages={150--158}, year={2012...
The application of the method to a set of five real networks demonstrates the accuracy of the framework to explain network topology. Furthermore, this new metric enhances network classification and can be used as a tool to confirm the topological accuracy of synthetic networks. This validation is...
understanding this phenomenon could yield certain signals based on which true and false content can be recognized. For social media platforms, a better understanding could inform the design of early warning systems that automatically detect the spread of false content10. Specifically, it would allow o...
At Schneider National, Bradley serves as the primary data mining architect for business projects to reduce accident risk, to explain driver recruiting and retention, and to discover why customer service delivery is not on time. He holds a Master of Science degree in Operations Research from the ...
The estimates we establish give optimal rates and are based on a local and empirical version of Rademacher averages, in the sense that the Rademacher averages are computed from the data, on a subset of functions with small empirical error. We present some applications to classification and ...
Figure 7. Model Assessment Results, Model Fit Statistics Figure 7 shows that the model's misclassification rate on the test set is 27.8%. Figure 8 shows the corresponding event classification plot, where the larger portion of the model's misclassification events are good applications that are ...
Describe the differences among classification, clustering, and association rule data mining. Is the following list of data quantitative or qualitative? (5, 6.5, 1, 0) Define and give an example of Quantitative variables. What are the two defining characteristics of...
NHANES survival model with XGBoost and SHAP interaction values- Using mortality data from 20 years of followup this notebook demonstrates how to use XGBoost andshapto uncover complex risk factor relationships. Census income classification with LightGBM- Using the standard adult census income dataset, ...
NHANES survival model with XGBoost and SHAP interaction values- Using mortality data from 20 years of followup this notebook demonstrates how to use XGBoost andshapto uncover complex risk factor relationships. Census income classification with LightGBM- Using the standard adult census income dataset, ...