Analysis of Machine Learning Algorithm with Road Accidents Data Sets

Authors

  • P Sumanth U.G Student, Department of Computer Science, Sathyabama University, Chennai, INDIA
  • P Sai Anudeep U.G Student, Department of Computer Science, Sathyabama University, Chennai, INDIA
  • S Divya Assistant Professor, Department of Computer Science, Sathyabama University, Chennai, INDIA

DOI:

https://doi.org/10.31033/ijemr.10.2.3

Keywords:

Dataset, Ensemble Method, GUI Results

Abstract

Beginning at now, street transport framework neglect to alter up to the exponential expansion in vehicular masses and to ascertaining the quickest driving courses and catastrophes inside observing differing traffic conditions is a critical issue right presently structures. To upset this issue is to explore the vehicle division dataset with bundle learning technique for finding the best street choice without calamity gauging by want aftereffects of best accuracy count by looking at oversaw AI figuring. In bits of information and AI, bundle strategies utilize diverse learning calculations to give indications of progress prudent execution. The assessment of dataset by facilitated AI technique (SMLT) to get two or three data takes after, factor perceiving proof, univariate evaluation, bivariate and multi-variate appraisal, missing worth medications and separate the information support, information cleaning/organizing and information perception will be done with everything taken into account given dataset. In addition, to look at and talk about the presentation of different AI figuring estimations from the given vehicle division dataset with assessment of GUI based street fiasco want by given attributes.

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Published

2020-04-30

How to Cite

P Sumanth, P Sai Anudeep, & S Divya. (2020). Analysis of Machine Learning Algorithm with Road Accidents Data Sets. International Journal of Engineering and Management Research, 10(2), 20–25. https://doi.org/10.31033/ijemr.10.2.3