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About Comparative Performance of Machine Learning Algorithms For Cryptocurrency Forecasting
This document summarizes a research paper that compares the performance of machine learning algorithms for cryptocurrency forecasting. It discusses cryptocurrencies like Bitcoin, Litecoin, Ethereum, Nem, Ripple and Stellar. It also covers machine learning algorithms like neural networks, support vector machines, and deep learning. The researchers used these algorithms to forecast cryptocurrency prices and evaluated the models using root mean square error to determine which algorithm produced the most accurate predictions.
Detailed Information
| Author: | ['Mohammad J.hamayel'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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