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In order to get a good classification effect, kernel functions were usually used to map the training samples to a high-dimensional feature space.
On the contrary, if λ is too big, the noise that was removed is too little, and we still can not get a good classification result.
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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