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AI 2021, 2 493 Figure 18 shows the comparison between the actual and the predicted price of the GRU model for LTC. It represents similar trends for both actual and predicted price with a mean absolute percentage error of 0.2116% and a root mean square error of 0.825. This model is considered the best model. Statistical analysis of the data indicates that the predicted price has a mean value of 165.93 USD, a maximum value of 378.10 USD, and a minimum value of 53.84 USD, whereas the actual price has a mean value of 165.68 USD, a maximum value of 373.64 USD, and a minimum value of 53.64 USD. The mean difference between the mean values of the actual and the predicated prices is 0.25 USD. Figure 19 illustrates the comparison between the actual and the predicted price of the bi-LSTM model for LTC. It represents a small difference between the actual and the predicted price with mean absolute percentage error of 2.332% and a root mean square error of 4.307. Statistical analysis of the data indicates that the predicted price has a mean value of 176.75 USD, a maximum value of 378.10 USD, and a minimum value of 51.12 USD, whereas the actual price has a mean value of 165.68 USD, a maximum value of 397.57 USD, and a minimum value of 53.64 USD. The mean difference between the mean values of the actual and the predicated prices is 11.07 USD. 6. Discussion The proposed model in this research can be considered a reliable and acceptable model for cryptocurrency prediction. Table 5 presents a comparison between the proposed model in this paper and other models in the literature. Table 5. A comparison between previous work and the model proposed in this paper. Reference [51] [45] [53] This paper This paper This paper Cryptocurrency BTC, LTC BTC BTC BTC ETH LTC Method Multi-linear regression model Logistic regression and linear discriminant analysis ARIMA, LSTM and GRU. LSTM, GRU, and bi-LSTM LSTM, GRU, and bi-LSTM LSTM, GRU, and bi-LSTM Result R2 score: 44% for LTC and 59% for BTC LR: 66% LDA: 65.3% RMSE ARIMA: 302.53, LSTM: 603.68 GRU: 381.34 GRU MAPE: 0.2454% RMSE: 174.129 LSTM MAPE: 1.1234% RMSE: 410.399 bi-LSTM MAPE: 5.990% RMSE: 2927.006 GRU MAPE: 0.8267% RMSE: 26.59 LSTM MAPE: 1.5498% RMSE: 59.507 bi-LSTM MAPE: 6.85% RMSE: 321.061 GRU MAPE: 0.2116% RMSE: 0.825 LSTM MAPE: 0.8474% RMSE: 3.069 bi-LSTM MAPE: 2.332% RMSE: 4.307PDF Image | Novel Cryptocurrency Price Prediction Model Using GRU
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