<prompt> Bolela sepheo sa boenjiniere ba likarolo.nan  <response>: Instruction in English: State the purpose of feature engineering. . Response in English: Feature engineering is the process of transforming raw data into meaningful and useful features that can be used in predictive models or statistical analysis. The goal of feature engineering is to improve the accuracy and predictive power of a model by extracting and selecting relevant information and making it more accessible and understandable to the modeling algorithms. This involves identifying patterns or relationships within the data, transforming variables into more useful representations, and creating new features that enhance the models ability to make accurate predictions. Ultimately, feature engineering helps to ensure that the data being used in a model is in the best possible form to maximize its accuracy and performance. . Response in Sesotho: Feature engineering ke mokhoa oa ho fetola data e tala hore e be likarolo tse nang le moelelo le tse molemo tse ka sebelisoang mefuteng e lebelloang kapa tlhahlobo ea lipalo. Sepheo sa boenjiniere ba likarolo ke ho ntlafatsa ho nepahala le matla a ho bolela esale pele a mohlala ka ho ntša le ho khetha tlhahisoleseding e nepahetseng le ho etsa hore e fumanehe haholoanyane le ho utloisisoa ho li-algorithms tsa mohlala. Sena se kenyelletsa ho tsebahatsa lipaterone kapa likamano ka hara data, ho fetola mefuta e fapaneng hore e be litlatsetso tse sebetsang haholoanyane, le ho theha likarolo tse ncha tse ntlafatsang bokhoni ba mohlala oa ho bolela esale pele ka nepo. Qetellong, boenjiniere ba likarolo bo thusa ho netefatsa hore data e sebelisoang mofuteng e maemong a matle ka ho fetesisa ho holisa ho nepahala le tsebetso ea eona. 