Skip to main content
. 2022 Jul 1;13:895136. doi: 10.3389/fpsyg.2022.895136

TABLE 6.

Root mean square error (RMSE) for artificial neural network model.

ANN Training Testing


N SSE RMSE N SSE RMSE Total sample
ANN01 555 2.891 0.072 67 0.333 0.070 622
ANN02 546 2.751 0.071 76 0.563 0.086 622
ANN03 563 3.039 0.073 59 0.251 0.065 622
ANN04 557 2.904 0.072 65 0.418 0.080 622
ANN05 567 2.921 0.072 55 0.402 0.085 622
ANN06 558 2.962 0.073 64 0.221 0.059 622
ANN07 554 2.859 0.072 68 0.299 0.066 622
ANN08 558 3.114 0.075 64 0.322 0.071 622
ANN09 562 4.509 0.090 60 0.389 0.081 622
ANN10 558 2.881 0.072 64 0.356 0.075 622
Mean 3.083 0.074 0.355 0.074
Standard deviation 0.511 0.006 0.097 0.009

SSE, sum square of errors; N, sample size; ANN, Artificial neural network model.