[Multi-Class][Multi-Label] Multi class와 multi label의 개념 및 차이

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multi-class, multi-label

• Multiclass classification means a classification task with more than two classes; e.g., classify a set of images of fruits which may be oranges, apples, or pears. Multiclass classification makes the assumption that each sample is assigned to one and only one label: a fruit can be either an apple or a pear but not both at the same time.
• Multilabel classification assigns to each sample a set of target labels. This can be thought as predicting properties of a data-point that are not mutually exclusive, such as topics that are relevant for a document. A text might be about any of religion, politics, finance or education at the same time or none of these.

요약: multiclass - 정답 중복X, multilabel - 정답 중복O

 

XGBoost multiclass 예제

https://github.com/gabrielziegler3/xgboost-multiclass-multilabel/tree/master/xgboost-multiclass

GitHub - gabrielziegler3/xgboost-multiclass-multilabel: XGBoost Medium article code

 

ref : https://stats.stackexchange.com/questions/11859/what-is-the-difference-between-multiclass-and-multilabel-problem

ref : https://scikit-learn.org/0.15/modules/multiclass.html