Date of Award
University Scholars Director
Dr. Christine Chaney
First Advisor/Committee Member
Dr. Carlos Arias
Second Advisor/Committee Member
Dr. John Hossler
Crime, Machine Learning, Visualization, Research
This article examines the implications of machine learning algorithms and models, and the significance of their construction when investigating criminal data. It uses machine learning models and tools to store, clean and analyze data that is fed into a machine learning model. This model is then compared to another model to test for accuracy, biases and patterns that are detected in between the experiments. The data was collected from data.seattle.gov and was published by the City of Seattle Data Portal and was accessed on September 17, 2018. This research will be looking into how machine learning models can be used to generate predictions and how the data management will introduce a bias that is unavoidable. This bias will be discussed, as well as the importance of understanding this bias for sensitive data, such as this crime data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
George, Erkin David, "Machine Learning with Multi-class Regression and Neural Networks: Analysis and Visualization of Crime Data in Seattle" (2019). Honors Projects. 106.