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The validation criteria and relevant performance measures of the developed models are presented in Table 6. Models will be considered valid for prediction should they satisfy some or all of the required conditions. As observed, the proposed models satisfy all of the pertained validation criteria; thus, they benefit from strong prediction power and are not random correlations.

Table 6

External validation statistical measures for K(T*) in prediction models

ModelRKK’mnRm
EPR 0.90 0.94 0.99 − 0.16 − 0.19 0.55 
GEP 0.92 0.93 1.02 − 0.12 − 0.15 0.61 
MT 0.94 0.96 0.99 − 0.1 − 0.11 0.64 
ModelRKK’mnRm
EPR 0.90 0.94 0.99 − 0.16 − 0.19 0.55 
GEP 0.92 0.93 1.02 − 0.12 − 0.15 0.61 
MT 0.94 0.96 0.99 − 0.1 − 0.11 0.64 

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