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Exact(3)
where each term will be treated separately.
Practically, from a higher Fisher's F test values and lower p_values, a higher significance of each term will be achieved.
As part of the feature generation, each term will be looked up in the hash map for the value of the cluster Id.
Similar(57)
An explanation of this term will be provided in the instructions of each domain of the scale.
"This term will be remembered for several".
Perhaps a second term will be different.
His term will be 7 years.
"Ahmadinejad's term will be about moderate freedom".
Hopefully, a second Obama term will be different.
We hope the second term will be better".
Something bigger and longer term will be needed first.
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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