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"training accuracy" is correct and usable in written English.
It is typically used in the context of testing and evaluation of machine learning models. For example, you might say: "We increased the training accuracy of the model from 60% to 90%."
Exact(60)
The superiority of the GA-ANN method was manifested in training accuracy and classification success rate.
The number of nodes in the hidden layer is determined based on the training accuracy.
And these 150 samples are used to test the training accuracy.
The results show that both training accuracy and real-time capability are more than satisfactory.
The inexpensive algorithms may have much higher training accuracy error; that is, the error accumulated per record when training.
After ≈20,000 steps, with a learning rate decreasing from 0.15 to 0.01, the training accuracy stabilized at 99.9%.
However, when normalized over the entire, large, dataset, the higher training accuracy error converges to a lesser prediction error.
This method can guarantee the number of negative samples, which improve training accuracy of the following object detection model, while not missing the real objects. .
The advantage of this method is that the training accuracy is relatively high, but the classification speed is slow and it takes high cost.
The hybrid recognition proposed in this article has a high training accuracy, i.e., 99.33%, which is higher than SVM's, i.e., 98.67%.
This method can guarantee the number of negative samples, which improve training accuracy of the following object detection model, while not missing the real objects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com