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Full-Text Articles in Applied Mathematics
Decision Tree For Predicting The Party Of Legislators, Afsana Mimi
Decision Tree For Predicting The Party Of Legislators, Afsana Mimi
Publications and Research
The motivation of the project is to identify the legislators who voted frequently against their party in terms of their roll call votes using Office of Clerk U.S. House of Representatives Data Sets collected in 2018 and 2019. We construct a model to predict the parties of legislators based on their votes. The method we used is Decision Tree from Data Mining. Python was used to collect raw data from internet, SAS was used to clean data, and all other calculations and graphical presentations are performed using the R software.
Wilson Sensor Footballs: Consistency Metric, Kenneth Eaton
Wilson Sensor Footballs: Consistency Metric, Kenneth Eaton
Honors Capstone Enhancement Presentations
No abstract provided.
Patent Examination Policy And The Social Costs Of Examiner Allowance And Rejection Errors, Ron D. Katznelson
Patent Examination Policy And The Social Costs Of Examiner Allowance And Rejection Errors, Ron D. Katznelson
Ron D. Katznelson
No abstract provided.