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Table 6 Forecast comparison using Ethereum return volatility

From: Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms

	RMSE		MAE
	Testing	Training	Testing	Training
NNETAR	0.0101	0.0057	0.0029	0.0033
CSS	0.0210	0.0164	0.0069	0.0058
GMDH-NN	0.0290	0.0065	0.0053	0.0037

Bold indicates minimum the RMSE and MAE of the model, more efficient the model is

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