Welcome to Anagrammer Crossword Genius! Keep reading below to see if labeled is an answer to any crossword puzzle or word game (Scrabble, Words With Friends etc). Scroll down to see all the info we have compiled on labeled.
labeled
Searching in Crosswords ...
The answer LABELED has 14 possible clue(s) in existing crosswords.
Searching in Word Games ...
The word LABELED is VALID in some board games. Check LABELED in word games in Scrabble, Words With Friends, see scores, anagrams etc.
Searching in Dictionaries ...
Definitions of labeled in various dictionaries:
verb - assign a label to
verb - attach a tag or label to
verb - pro noun ce judgment on
more
Word Research / Anagrams and more ...
Keep reading for additional results and analysis below.
| Possible Crossword Clues |
|---|
| Tagged |
| Bearing a tag |
| Affixed a brand-name tag to |
| Pigeonholed |
| Tagged for identification |
| Sporting a tag |
| Did file work |
| Gave a name to |
| Called |
| Marked, as a jar |
| Possible Dictionary Clues |
|---|
| attach a label to (something). |
| bearing or marked with a label or tag |
| Having a label, tagged. |
| Defined or described. |
| Simple past tense and past participle of label. |
| A small piece of paper, fabric, plastic, or similar material attached to an object and giving information about it. |
| A classifying phrase or name applied to a person or thing, especially one that is inaccurate or restrictive. |
| A narrow horizontal strip, typically with three downward projections, that is superimposed on a coat of arms by an eldest son during the life of his father. |
| Attach a label to (something) |
| Assign to a category, especially inaccurately or restrictively. |
| Labeled description |
|---|
|
Labeled data is a group of samples that have been tagged with one or more labels. Labeling typically takes a set of unlabeled data and augments each piece of that unlabeled data with meaningful tags that are informative. For example, labels might indicate whether a photo contains a horse or a cow, which words were uttered in an audio recording, what type of action is being performed in a video, what the topic of a news article is, what the overall sentiment of a tweet is, whether the dot in an x-ray is a tumor, etc. * Labels can be obtained by asking humans to make judgments about a given piece of unlabeled data (e.g., "Does this photo contain a horse or a cow?"), and are significantly more expensive to obtain than the raw unlabeled data. * After obtaining a labeled dataset, machine learning models can be applied to the data so that new unlabeled data can be presented to the model and a likely label can be guessed or predicted for that piece of unlabeled data. |