Review on Multilabel Classification Algorithms |
Author(s): |
| Ms. Prajakta Chaudhari , KKWIEER Nashik Maharashtra; Prof.Dr.S.S.Sane, KKWIEER Nashik Maharashtra |
Keywords: |
| Training Dataset, Multilabel Classification Algorithms |
Abstract |
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Multilabel classification is a framework in which each input data in training data set can be related to more than one class labels simultaneously. The goal of multilabel classification is to produce set of labels for unseen instances by analyzing training dataset. This paper presents fundamentals of multilabel classification, some multilabel classification algorithms and evaluation metrics. |
Other Details |
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Paper ID: IJSRDV3I110293 Published in: Volume : 3, Issue : 11 Publication Date: 01/02/2016 Page(s): 429-431 |
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