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The success rate of the models proposed for silage temperature prediction ranged between 90.0% and 94.3%.
Similarly, the hit rate of the models for excess rainfall years were not captured by models bccr, cccma, echam, inmcm and ipsl.
The median air exchange rate of the models was essentially the same, approximately 0.22 air changes per hours (ACH).
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The softening rate of the model is obtained from the corresponding rate of the dissipated energy.
However, the success rate of the model with 55 neurons outperforms the model that has 220 inputs.
Figure 8(b) shows the deflation rate of the model magma chamber estimated by differentiation of the temporal volume changes.
It shows that the average success rate of the model is more than 90% for all scenarios.
The permeation studies revealed the size dependent diffusion rate of the model drugs through the NFC films.
Validation of empirical models is designed to produce statistics related to the average error rate of the model.
Antioxidant activity (which is related with the above mentioned biological activities) can be better monitored by means of the reaction rate of the model radical species.
Similarly, the hit rate of the model on excess rainfall amount for the model cccma and echam computed to be 50%%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com