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Extrapolated models are more remote from the testing datasets, especially model G.
In the environments with the predictable workloads, the training and the testing datasets are not complex.
The testing datasets are multicamera pedestrian video (EPFL), CASIA, and MSR Action.
The modelling results were validated based on the continuous Boyce curve calculated with the testing datasets.
In environments with the predictable workload patterns (i.e., periodic or growing) the training and the testing datasets are not complex.
This is partially due to the fact that, in general, the testing datasets are not widely available [6].
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The calculation of MAPE was done for the testing dataset and the training dataset.
When the testing dataset was used, total accuracy was obtained as 0.7578 for the developed algorithm.
Scalar residuals between the testing dataset and the seven main field candidate models for epoch 2005.0.
After that, the ANN is tested using the testing dataset as outlined in Section 1.5.4.
The instances in the testing dataset are then labeled by using the hyperplane.
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