<prompt> Bolela sepheo sa mantlha sa algorithm ea ho tlosa likarolo.nan  <response>: Instruction in English: State the primary purpose of a feature extraction algorithm. . Response in English: The primary purpose of a feature extraction algorithm is to reduce the dimensionality of the dataset by extracting the most important and relevant features from it, while also retaining as much information as possible. By doing so, it simplifies the data, making it easier and more efficient to process and analyze while still capturing the underlying patterns and relationships within it. This reduction in complexity can also lead to improved accuracy and performance of various models and algorithms applied on the data. . Response in Sesotho: Sepheo sa mantlha sa algorithm ea ho ntša likarolo ke ho fokotsa boholo ba dataset ka ho ntša likarolo tsa bohlokoa ka ho fetisisa ho eona, ha u ntse u boloka boitsebiso bo bongata kamoo ho ka khonehang. Ka ho etsa joalo, e nolofatsa lintlha, ho etsa hore ho be bonolo le ho sebetsa hantle ho sebetsa le ho sekaseka ha e ntse e hapa mekhoa le likamano tse ka hare ho eona. Phokotso ena ea ho rarahana e ka boela ea lebisa ntlafatsong ea ho nepahala le tsebetso ea mefuta e fapaneng le li-algorithms tse sebelisoang ho data. 