A Novel Random Forest Classifier with K-Fold cross validation for crime prediction using the San Francisco dataset and comparison with Stochastic Gradient Descent classifier for improved accuracy
Author:
Affiliation:
1. Saveetha University,Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering Saveetha School of Engineering,Chennai,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498669.pdf?arnumber=10498669
Reference17 articles.
1. Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms
2. Smart Policing Technique With Crime Type and Risk Score Prediction Based on Machine Learning for Early Awareness of Risk Situation
3. College Student Victims and Reporting Crime to the Police: The Influence of Collective Efficacy;Hart;Criminology, Criminal Justice, Law & Society,2011
4. Crime Prediction Using Spatio-Temporal Data
5. Crime Analysis Using K-Means Clustering
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