Your English writing platform
Free sign upThe phrase "labeled data" is correct and usable in written English.
You can use it when referring to data that has been assigned tags or labels (e.g. categories, categories, or classifications) in order to make it easier to search and analyze. For example, "The researchers used labeled data to analyze the effects of climate change on different species of plants."
Exact(60)
However, in most cases, the labeled data is limited.
Classification algorithms often handle large amounts of labeled data.
They then train the algorithm using this labeled data set and test it on the rest.
We varied the number of labeled data to measure the performance gain with increasing supervision.
So it's something, conceptually, like this, where they have labeled data.
I also design algorithms that are able to learn from large amounts of labeled data.
This involves feeding a machine massive amounts of carefully labeled data to train it to recognize a narrowly defined pattern.
To preserve the accuracy, a large number of labeled data is needed for training the model.
ORP has an ability to deal with classification tasks in which the labeled data are insufficient.
Visual data classification using insufficient labeled data is a well-known hard problem.
The automatic design of fuzzy rule-based classification systems based on labeled data is considered.
Write better and faster with AI suggestions while staying true to your unique style.
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