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Predicting Crime is an integral part of keeping the community safe and harmonious. It provides valuable information to the respective authorities to anticipate concerns, prevent victims from being potential targets, and allocate their resources in the best possible way. This paper determines the use of a Machine learning algorithm to predict Crime in Montgomery County. We propose a new model designed to enhance the accuracy of crime data. We cover how descriptive models help understand and demonstrate the next potential move for various crimes. This research also shows how we can pre-process information as needed for prediction algorithms.

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Designing Interpretable Machine Learning Prediction Model for Crime Prediction in Montgomery County

  • 会议论文

  • 发表日期：

    2026年

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  • Aishwarya Reehl

摘要

Predicting Crime is an integral part of keeping the community safe and harmonious. It provides valuable information to the respective authorities to anticipate concerns, prevent victims from being potential targets, and allocate their resources in the best possible way. This paper determines the use of a Machine learning algorithm to predict Crime in Montgomery County. We propose a new model designed to enhance the accuracy of crime data. We cover how descriptive models help understand and demonstrate the next potential move for various crimes. This research also shows how we can pre-process information as needed for prediction algorithms.