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"the testing dataset" is a correct and usable phrase in written English.
It can be used when referring to a specific dataset that is being used for testing purposes. For example: 1. "The accuracy of our machine learning model was evaluated on the testing dataset." 2. "Before deploying the software, it must be thoroughly tested on the testing dataset." 3. "The results from the training dataset were not as reliable as the ones from the testing dataset."
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When the testing dataset was used, total accuracy was obtained as 0.7578 for the developed algorithm.
The instances in the testing dataset are then labeled by using the hyperplane.
The models are then used for the classification of the testing dataset.
Thus, the testing dataset of set D contains 1,972 utterances by 10 speakers.
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.
As a result, the detection accuracy obtained from the testing dataset was only about 54%.
First, define " " as the length of the testing dataset and " " as the number of states.
The calculation of MAPE was done for the testing dataset and the training dataset.
Note that the utterances in the testing dataset contained different contents (sentences) from the utterances used to train the GMMs.
As mentioned earlier, the testing dataset has been modified to simulate a real-world streaming environment from multiple sensors.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com