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On the contrary, extensive evaluations of the models have shown that they give good estimates of the warming trends.
The best threshold was the average of the means of the positive and negative scores because it provided the most favorable balance between the number of true positives and false positives, and was therefore used in the subsequent evaluations of the models.
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Subsequent outcome evaluations of the model could be conducted in several forms.
A pattern search, on the other hand, generally requires far fewer evaluations of the model than a grid search.
Read online evaluations of the model.
Table S2: Model results and statistical evaluation of the models.
The implementation and evaluation of the models are analyzed.
Evaluation of the models finds ANN models superior and some regression models with an acceptable performance.
A thorough discussion on the derivation and the evaluation of the models is presented.
Distinctive statistical evaluation of the models was performed in terms of well-known statistical indicators.
The evaluation of the models was based both on synthetic and real gas condensate mixtures.
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