A Novel Random Forest Classifier With K-Fold Cross Validation for Crime Prediction Using the Chicago Dataset and Comparison with Stochastic Gradient Descent Classifier for Improved Accuracy
Author:
Affiliation:
1. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10543254/10545024/10545227.pdf?arnumber=10545227
Reference15 articles.
1. Crime Analyses Using Data Analytics
2. An efficient cat hunting optimization-biased ReLU neural network for healthcare monitoring system Kavitha Dhanushkodi, Ravikumar Sethuraman, Premalatha Mariappan;Anusooya Govindarajan Publication date 2023/6/13 Journal Wireless Networks Pages 1-17 Publisher Springer US
3. Crime Against Women: Analysis and Prediction Using Data Mining Techniques
4. A Comparative Study to analyze crime threats using data mining and machine learning approach
5. Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques
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