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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
PREDICTIVE ANALYSIS OF AN IPL MATCH USING MACHINE LEARNING
Authors
Kiran Gawande, Sumit Harale, Simran Pakhare
Keywords
Machine Learning, Random Forest, Classification Algorithm, Cricket Prediction
Abstract
Prediction of outcome of a match using machine learning algorithms is a crucial aspect in cricket. Records of the past
performance of players and other related data are often analyzed to make models that predicts the winning team. This model is created using
the machine learning algorithms like Decision Tree, Naive Bayes, Logistic Regression, Random Forest, SVM, K-Nearest neighbor and their
results are often compared supported the evaluation measures as accuracy, precision, recall, f1 score and support. For prediction we've used a
number of the features like City, Team1, Team2, Toss winner, Winner for prediction with higher accuracy. For this process we took dataset
from Kaggle.com, imported necessary python libraries then we visualized data. We trained ML model and predicted results. For prediction
we studied various classification algorithms to get best accuracy.
IJCRT's Publication Details
Unique Identification Number - IJCRT2204215
Paper ID - 217945
Page Number(s) - b795-b801
Pubished in - Volume 10 | Issue 4 | April 2022
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Kiran Gawande, Sumit Harale, Simran Pakhare, "PREDICTIVE ANALYSIS OF AN IPL MATCH USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.b795-b801, April 2022, Available at :http://www.ijcrt.org/papers/IJCRT2204215.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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