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Unlabeled example: Difference between revisions
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[[Machine learning]] often uses [[labeled data]] for [[model]] [[training]]. Labeled data refers to information that has already been [[classified]] and [[labeled]] by humans, making it simpler for the model to comprehend and learn from. On occasion, however, [[unlabeled data]] may also be employed. | [[Machine learning]] often uses [[labeled data]] for [[model]] [[training]]. Labeled data refers to information that has already been [[classified]] and [[labeled]] by humans, making it simpler for the model to comprehend and learn from. On occasion, however, [[unlabeled data]] may also be employed. | ||
==Example== | |||
{| class="wikitable" | |||
|+ 3 [[unlabeled example]]s | |||
|- | |||
! colspan="3"| Features | |||
|- | |||
! Temperature | |||
! Precipitation | |||
! Humidity | |||
|- | |||
| 25 || 9 || 12 | |||
|- | |||
| 20 || 54 || 32 | |||
|- | |||
| 31 || 0 || 87 | |||
|- | |||
|} | |||
==What is Unlabeled Data?== | ==What is Unlabeled Data?== | ||