<prompt> Sepheo sa ho arola li-label tse ngata ke sefe?nan  <response>: Instruction in English: What is the purpose of multi-label classification? . Response in English: The purpose of multi-label classification is to assign multiple as opposed to just one relevant labels or classes to each instance, sample, or observation in a dataset. Multi-label classification is commonly used in various applications such as text categorization, image classification, and genomic analysis, where instances or observations can belong to more than one label or class simultaneously. By allowing for the assignment of multiple labels to an instance, multi-label classification can more accurately represent and model complex real-world phenomena, and can better capture the relationships between different labels and the features or characteristics of the instances. . Response in Sesotho: Sepheo sa ho arola lileibole tse ngata ke ho abela lileibole tse ngata ho fapana le e le ngoe kapa lihlopha tse amehang ketsahalong e ngoe le e ngoe, lisampole, kapa tlhokomeliso lethathamong la data. Karolelano ea lileibole tse ngata hangata e sebelisoa litsebetsong tse fapaneng tse kang ho arola mongolo, ho arola litšoantšo, le tlhahlobo ea genomic, moo maemo kapa litebello e ka bang tsa lileibole tse fetang bonngoe kapa sehlopha ka nako e le ngoe. Ka ho lumella hore ho abeloe lileibole tse ngata ketsahalong e itseng, ho hlophisoa ha lileibole tse ngata ho ka emela ka nepo haholoanyane le ho etsa mohlala oa liketsahalo tsa sebele tsa lefatše, me ho ka hohela likamano lipakeng tsa lileibole tse fapaneng le likarolo kapa litšobotsi tsa liketsahalo. 