TABLE 6.

Root mean square of errors (RMSE) values for training and testing.

Training			Testing
N	SSE	RMSE	N	SSE	RMSE	Total sample
638	4.539	0.084	80	0.479	0.077	718
634	4.78	0.087	84	0.659	0.089	718
641	4.83	0.087	77	0.611	0.089	718
648	6.369	0.099	70	0.321	0.068	718
645	4.468	0.083	73	0.259	0.060	718
645	6.782	0.103	73	0.875	0.109	718
640	4.711	0.086	78	0.471	0.078	718
639	4.219	0.081	79	0.634	0.090	718
645	4.364	0.082	73	0.596	0.090	718
634	4.742	0.086	84	0.458	0.074	718
Mean	4.980	0.088	Mean	0.536	0.082
Std Dev	0.868	0.007	Std Dev	0.178	0.014

R² = 1–RMSE/S², where S² is the variance of the test data’s desired output.

N, number of samples; RMSE, root mean square of errors.

AGR, agreeableness; CONS, conscientiousness; EXTR, extraversion; NEUR, neuroticism; OPEN, openness; SAT, satisfaction served as the input neurons.

AI, adoption intention served as the output neuron.