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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	BITCOIN PRICE PREDICTION USING MACHINE LEARNING
Authors Name:	G.Naga Jyothi , Dr.M.Jahir Pasha
Unique Id:	IJSDR2112010
Published In:	Volume 6 Issue 12, December-2021
Abstract:	Crypto currencies, such as Bit coin, are one of the most controversial and complex technological innovations in today's financial system. This study aims to forecast the movements of Bit coin prices at a high degree of accuracy. In order to test these algorithms, besides existing continuous dataset, discrete dataset was also created and used. For the evaluations of algorithm performances, the F statistic, accuracy statistic, the Mean Absolute Error (MAE), the Root Mean Square Error (RMSE) and the Root Absolute Error (RAE) metrics were used. The test was used to compare the performances of the SVM, ANN, NB and RF with the performance of the LR. Empirical findings reveal that, while the RF has the highest forecasting performance in the continuous dataset, the NB has the lowest. On the other hand, while the ANN has the highest and the NB the lowest performance in the discrete dataset. Furthermore, the discrete dataset improves the overall forecasting performance in all algorithms (models) estimated.
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Cite Article:	"BITCOIN PRICE PREDICTION USING MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 12, page no.64 - 67, December-2021, Available :http://www.ijsdr.org/papers/IJSDR2112010.pdf
Downloads:	000337067
Publication Details:	Published Paper ID: IJSDR2112010 Registration ID:193739 Published In: Volume 6 Issue 12, December-2021 DOI (Digital Object Identifier): Page No: 64 - 67 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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