Table 2.
Estimated parameters of the artificial neural network.
| Predictor | Predicted | |||||
|---|---|---|---|---|---|---|
| Hidden layer 1 | Output layer | |||||
| H(1:1) | H(1:2) | H(1:3) | H(1:4) | AUTOES_TOTAL | ||
| Input layer | (Bias) | −0.432 | −0.268 | 0.375 | −0.027 | |
| (Sex = 1) | 0.350 | −0.500 | 0.115 | 0.353 | ||
| (Sex = 2) | −0.005 | −0.300 | 0.789 | 0.288 | ||
| (Role = 2) | −0.481 | −0.302 | 0.115 | −0.344 | ||
| (Role = 3) | −0.150 | 0.203 | −0.068 | −0.052 | ||
| Age | −0.403 | 0.537 | 0.562 | −0.302 | ||
| Stress_total | −0.230 | −0.442 | −0.650 | 0.327 | ||
| Resilience | −0.270 | 0.017 | 0.282 | −0.430 | ||
| Hidden layer 1 | (Bias) | −0.587 | ||||
| H(1:1) | 0.128 | |||||
| H(1:2) | −0.356 | |||||
| H(1:3) | 0.939 | |||||
| H(1:4) | −0.426 | |||||
Sex = 1: Female; Sex = 2: Male; Role = 2: Student; and Role = 3: Teacher. Source: Own elaboration.