Besides, results showed that the SVM model had acceptable uncertainty in BOD5 prediction.
The results obtained from the simulation and comparison with those of FETToy model demonstrated that the proposed model had acceptable and appropriate accuracy for different values of physical parameters and different bias conditions.
Therefore, the second model had acceptable adjustment of data [χ 2 df) = 95.71 (31); TLI = 0.91; CFI = 0.93; RMSEA = 0.07], and the variables social support, economic situation assessment, health assessment, and group (rural or urban) explained 28% of variance of happiness.
The model had acceptable calibration (p = 0.55 by the Hosmer-Lemeshow test) and was not sensitive to outliers or model misspecification (p = 0.40 by the Wald test).
Most researchers focused on the development of statistically accurate models, having acceptable predictive capabilities, and based on enough reliable available data.
The coefficient of determination (R2) and the mean square error (MSE) of these two surrogate models demonstrated that both models had acceptable approximation accuracy, furthermore, the approximation accuracy of the Kriging model was slightly better than that of the RBFANN model.
Approximately 33% of the resulting models had acceptable stereochemical and steric profiles, given the above restraints.
All models had acceptable calibration (P>0.05).
All adjusted models had acceptable goodness-of-fit (p > 0.05).
