Sentence examples for generality of the models from inspiring English sources

Exact(7)

This modeling decision does not affect the generality of the models as the omission of these passive transposable elements provides us with a worst case scenario: every TE is capable of reproduction and thus every new copy of a transposon "puts host control under more pressure".

It is important to understand than global accuracy comparisons (using ROC curves) are often made on 'hold-out' data, eg data that was not used to generate models in the first place, so as to test the generality of the models.

Therefore, the interpretability and generality of the models obtained by these methods are drastically affected.

Secondly, the generality of the models is used to represent the tokamak which is compared against the original tokamak PROCESS models using a DEMO design as reference case.

Further research should be undertaken across broader spatial scales that include greater gradients in Site Index to further test the generality of the models developed here.

To achieve the best performance model, a scoring table was proposed considering several factors including coefficient of determination, sum of errors, difference between training and testing errors, sum of residuals, deviation of predicted results from experimental one and complexity and generality of the models.

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Similar(52)

Despite the relative generality of these models, the combination of the architecture oriented plus the capacity oriented analyses provide for precise identification of the underlying system.

To evaluate its effectiveness, we apply the proposed method to generate a model from a video dataset in Switzerland and then test the generality of the model by validating against video data from the United States.

The additional transport equations serve a higher generality of the model and enable the proper treatment of vaporizing fuel droplets.

The VLE-fit procedure performs as well as the LLE-fit procedure, indicating the generality of the model.

3) The combination of causal covariates and monotonicity constraint improves the generality of the model in predictions.

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