Table 4. Parameters and statistics of the best selected architecture for each proposed framework, in order to predict the Ethereum price, are described.

Statistics represent the average and standard deviation (in brackets), across the k-folds with k = 3, of the MAPE values. Note that (r) stands for SVR with a radial kernel function, (l) stands for SVR with a linear kernel function, and (p) stands for SVR with a polynomial kernel function. The bold entries highlight the framework with the lowest average of the MAPE’s values across the k-folds.

	LSTMNN	SVR (r) + LSTMNN	SVR (l) + LSTMNN	SVR (p) + LSTMNN
# epochs	212	172	445	199
# neurons	100	83	44	35
# batchs	21	20	54	21
γ		66.78
d				1
avg (std)	6.04 (1.6)	6.44 (2.18)	3.44 (0.61)	3.6 (0.58)