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The model achieved reasonable prediction (R2 = 0.939; Figure 27), but some inaccuracies occur.
The model achieved a mean square error ranging from 5.7% to 15.33%.
The model achieved mean absolute percentage errors ranging from 3%to6%6% for the day ahead prediction.
The model achieved a correlation coefficient greater than 98% for sunny days and less than 95% for cloudy days.
The prediction of ORN response to novel molecules shows a mixed picture: For the ab3A ORN, the model achieved an MCC of 0.85, providing reliable prediction.
If a model obtains fruit from a plant, an observer capable of copying ends may recognize that the plant bears fruit and try to obtain that fruit as a result of having seen what the model achieved.
Similar(28)
Amongst other things, this lists the miles per gallon (mpg) the model achieves when tested on the Environmental Protection Agency's simulated city and highway driving cycles.
Results obtained through simulation show that the model achieves a high degree of accuracy.
In contrast, when the period is appropriately shorter, as shown in the figure, the model achieves dynamic transition.
The model achieves a good level of accuracy by carefully modeling calcine production, crane dispatching, and equipment delays.
The model achieves good agreement with flow stress strain evolution and yield data collected over many studies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com