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Crime Pattern Identification and Prediction Using Machine Learning

  • Kavita Jhajharia,
  • Gaurav Aggarwal,
  • Mayank Goyal,
  • Ishank Rastogi

摘要

In today’s world, crime rate is reaching the heights of sky, which calls for the help of technology to predict and hence control the crime before it even occurs, thus finally reducing the crime rate. This research’s main aim is to predict whether the crime is going to occur or not based on certain inputs such as location, date, time, and previous crime records related to those particular attributes. This work uses several machine learning algorithms to detect and classify the crime and hence predicting the crime. In the end after comparing several machine learning algorithms, studying several plots and graphs, the algorithm with the highest accuracy is chosen. The result predicts whether the crime will occur or not.