Player Rating Correlation Prediction Using Machine Learning

K. Shrilakshmi; Soumyalatha Naveen; U. M. Ashwinkumar

doi:10.1109/CONECCT52877.2021.9622630

Player Rating Correlation Prediction Using Machine Learning

K. Shrilakshmi
, Soumyalatha Naveen
, U. M. Ashwinkumar

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Predicting the effect of the game and players performance can benefit the team to move step towards the victory. In any gaming system, rating of the players plays an important role. It is essential to find the relationship between the ratings of the players where we can select a best player from different good players. In our paper, we find the relationship between the ratings of the player based on absolute dispute resolution by using gradient descent and stochastic gradient descent technique. We executed for 100 epochs and at the end, best fit line showed that the player having least absolute dispute resolution value. We evaluated the model using stochastic gradient descent and gradient descent and observed that stochastic gradient descent will get best fit line than the gradient descent.

Original language	English
Title of host publication	Proceedings of CONECCT 2021
Subtitle of host publication	7th IEEE International Conference on Electronics, Computing and Communication Technologies
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665428491
DOIs	https://doi.org/10.1109/CONECCT52877.2021.9622630
Publication status	Published - 2021
Event	7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021 - Bangalore, India Duration: 09-07-2021 → 11-07-2021

Publication series

Name	Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies

Conference

Conference	7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021
Country/Territory	India
City	Bangalore
Period	09-07-21 → 11-07-21

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Instrumentation
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

Access to Document

10.1109/CONECCT52877.2021.9622630

Cite this

Shrilakshmi, K., Naveen, S., & Ashwinkumar, U. M. (2021). Player Rating Correlation Prediction Using Machine Learning. In Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies (Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONECCT52877.2021.9622630

Shrilakshmi, K. ; Naveen, Soumyalatha ; Ashwinkumar, U. M. / Player Rating Correlation Prediction Using Machine Learning. Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies).

@inproceedings{26b3c13a7ba544e284d94f2e08e93fd6,

title = "Player Rating Correlation Prediction Using Machine Learning",

abstract = "Predicting the effect of the game and players performance can benefit the team to move step towards the victory. In any gaming system, rating of the players plays an important role. It is essential to find the relationship between the ratings of the players where we can select a best player from different good players. In our paper, we find the relationship between the ratings of the player based on absolute dispute resolution by using gradient descent and stochastic gradient descent technique. We executed for 100 epochs and at the end, best fit line showed that the player having least absolute dispute resolution value. We evaluated the model using stochastic gradient descent and gradient descent and observed that stochastic gradient descent will get best fit line than the gradient descent.",

author = "K. Shrilakshmi and Soumyalatha Naveen and Ashwinkumar, \{U. M.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021 ; Conference date: 09-07-2021 Through 11-07-2021",

year = "2021",

doi = "10.1109/CONECCT52877.2021.9622630",

language = "English",

series = "Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of CONECCT 2021",

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}

Shrilakshmi, K, Naveen, S & Ashwinkumar, UM 2021, Player Rating Correlation Prediction Using Machine Learning. in Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies. Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021, Bangalore, India, 09-07-21. https://doi.org/10.1109/CONECCT52877.2021.9622630

Player Rating Correlation Prediction Using Machine Learning. / Shrilakshmi, K.; Naveen, Soumyalatha; Ashwinkumar, U. M.
Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Player Rating Correlation Prediction Using Machine Learning

AU - Shrilakshmi, K.

AU - Naveen, Soumyalatha

AU - Ashwinkumar, U. M.

PY - 2021

Y1 - 2021

N2 - Predicting the effect of the game and players performance can benefit the team to move step towards the victory. In any gaming system, rating of the players plays an important role. It is essential to find the relationship between the ratings of the players where we can select a best player from different good players. In our paper, we find the relationship between the ratings of the player based on absolute dispute resolution by using gradient descent and stochastic gradient descent technique. We executed for 100 epochs and at the end, best fit line showed that the player having least absolute dispute resolution value. We evaluated the model using stochastic gradient descent and gradient descent and observed that stochastic gradient descent will get best fit line than the gradient descent.

AB - Predicting the effect of the game and players performance can benefit the team to move step towards the victory. In any gaming system, rating of the players plays an important role. It is essential to find the relationship between the ratings of the players where we can select a best player from different good players. In our paper, we find the relationship between the ratings of the player based on absolute dispute resolution by using gradient descent and stochastic gradient descent technique. We executed for 100 epochs and at the end, best fit line showed that the player having least absolute dispute resolution value. We evaluated the model using stochastic gradient descent and gradient descent and observed that stochastic gradient descent will get best fit line than the gradient descent.

UR - https://www.scopus.com/pages/publications/85123370550

UR - https://www.scopus.com/pages/publications/85123370550#tab=citedBy

U2 - 10.1109/CONECCT52877.2021.9622630

DO - 10.1109/CONECCT52877.2021.9622630

M3 - Conference contribution

AN - SCOPUS:85123370550

T3 - Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies

BT - Proceedings of CONECCT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2021

Y2 - 9 July 2021 through 11 July 2021

ER -

Shrilakshmi K, Naveen S, Ashwinkumar UM. Player Rating Correlation Prediction Using Machine Learning. In Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies). doi: 10.1109/CONECCT52877.2021.9622630

Player Rating Correlation Prediction Using Machine Learning

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