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The first model exhibited a better goodness of fit.
The hypothesized model exhibited a good fit with the data (RMSEA = 0.00, CFI = 1.00; Fig. 2).
The FE model exhibited a close agreement with the experimental results.
It can be observed that the ANN model exhibited a good performance on prediction of the experimental output.
The BP trained strength model exhibited a typical network behavior whereby the mse showed a steady improvement as the number of neurons in the hidden layer increased.
The results showed that the Cox proportional hazard model exhibited a poor estimation of population means of healthcare costs and the β1 even under proportional hazard data.
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The model exhibited an accuracy greater than 92% in both training and prediction (test) sets.
The PANKO-C57 model exhibited an enhanced metabolic phenotype, particularly with regard to enhanced glucose tolerance.
The factor model exhibited an acceptable-to-good global data fit.
The MLT model exhibits a wide variety of bursting dynamics.
Despite these simplifications, the model exhibits a large range of emergent shore profile shapes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com