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Unlike the NYC data, there was no way to reverse engineer identifiable information from the dataset itself.
We excluded twins, triplets and quadruplets from the dataset.
Choose one image I from the dataset randomly.
From the dataset, a total of 20 models were produced.
Six clones were chimeras and were removed from the dataset.
A tree structure for storing frequent itemsets from the dataset is designed.
A taxonomy of six synthesis strategies was devised from the dataset.
All positions containing gaps and missing data were eliminated from the dataset (complete deletion option).
Only a fraction of this is improperly excluded from the dataset.
14 Teachers answering that they plan to leave the profession are dropped from the dataset.
Phase I In the first Phase, all frequent singletons are mined from the dataset.
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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