GUI BASED PREDICTION OF CRIME RATE USING MACHINE LEARNING APPROACH
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 3)Publication Date: 2020-03-30
Authors : Prithi S; Aravindan S; Anusuya E; Ashok Kumar M;
Page : 221-229
Keywords : dataset; Machine learning-Classification method; python; Prediction of Accuracy result;
Abstract
Crime in India is increasing in various forms. Crime rates are increases based on location and time. There is no specific reason for any criminal activity. To prevent this problem, Police sectors have to predict crime rate using machine learning. The aim is to investigate machine learning based techniques for crime rate by prediction results in best accuracy and explore in this work the applicability of data technique in the efforts of crime prediction with particular importance to the data set. The analysis of dataset is carried out by supervised machine learning technique (SMLT) to capture few vital information and to perform data validation, data cleaning and data visualization on the given dataset. The analysis does the prediction of accuracy by comparing the result of different supervised machine learning algorithms. The most accurate algorithm would be taken from the comparison and predict the result.
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Last modified: 2020-04-04 22:12:05