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The small training array (STA) has 465 records.
Training requires two kinds of data arrays, training array and testing array.
The testing array holds the data in the same way as the training array, but the data in this array is more accurate and smaller than the data of the training array.
The correct values training Array (CTA) has 815 records; each is selected based on the rules given in Table 1.
The noisy training array (NTA) with 815 records; the noise is introduced by violating the rules of Table 1.
A training array is a two dimensional array [m × n], where m is the number of rows containing input values, and n = a + 1, where a is the number of input factors; in our model, n = 15.
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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