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Random forests were generally among the best performing models with a maximum ROC-AUC of 0.81 (CI: 0.72-0.88) for trial A, 0.96 (CI: 0.95-0.97) for trial B and 0.99 (CI: 0.98-0.99) for trial C. The full potential of this algorithm was reached after learning from approximately 200 manually screened patients (eligible and ineligible).
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Random forests and support vector machines reached maximum performance early after learning from only approximately 3% of all patients screened for trials B and C, corresponding to 241 and 164 patients respectively.
Learning From the Gurus.
Learning From O.P.E.
Learning from Andy Grove.
This is what I learned from reading Flowers in the Attic roughly 192 times when I was approximately twelve: Families are fucked.
He should have known better, because we've learned from sources that the capital raised amounts to approximately $400,000 (sorry, Steve!).
Approximately half of students wanted to learn from books (50.6%; n = 216).
We learn from him that the first grocery store in the city was built on the southern tip of Manhattan, in approximately 1630, by the Dutch West India Company.
Or learned from?
I learned from it".
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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