<prompt> Boenjiniere ba likarolo bo ntlafatsa ho nepahala ha mofuta oa ho ithuta oa mochini joang?nan  <response>: Instruction in English: How does feature engineering improve the accuracy of a machine learning model? . Response in English: Feature engineering is the process of selecting, transforming, and creating relevant features from raw data to be used in machine learning models. This process improves the accuracy of a model by identifying and providing the most relevant and predictive data as input.By selecting and creating features that capture important characteristics of the data, the model can make better predictions by identifying patterns and relationships that would not be visible using the raw data alone. For example, transforming dates into day of week or month of year may highlight seasonal patterns that are important in making predictions.Additionally, feature engineering can improve model accuracy by reducing the dimensionality of the data. By removing irrelevant or redundant features, the model can learn more efficiently and generalize better to new data, leading to higher accuracy.Overall, feature engineering enhances the performance of machine learning models by providing relevant, informative, and simplified data as input, allowing for more accurate predictions. . Response in Sesotho: Feature engineering ke mokhoa oa ho khetha, ho fetola, le ho theha likarolo tse amehang ho tsoa ho data e tala e tla sebelisoa mefuteng ea ho ithuta ea mochini. Tsebetso ena e ntlafatsa ho nepahala ha mohlala ka ho tsebahatsa le ho fana ka lintlha tse nepahetseng ka ho fetisisa le tse boletsoeng esale pele e le ho kenya letsoho. Ka ho khetha le ho theha likarolo tse nkang litšobotsi tsa bohlokoa tsa data, mohlala o ka etsa likhakanyo tse ntlafetseng ka ho khetholla mekhoa le likamano tse neng li ke ke tsa bonahala li sebelisa data e tala feela. Ka mohlala, ho fetola matsatsi hore e be letsatsi la beke kapa khoeli ea selemo ho ka na ha totobatsa mekhoa ea nako ea selemo e leng ea bohlokoa ha ho etsoa likhakanyo. Ho feta moo, boenjiniere ba likarolo bo ka ntlafatsa ho nepahala ha mohlala ka ho fokotsa boholo ba data. Ka ho tlosa likarolo tse sa hlokahaleng kapa tse sa hlokahaleng, mohlala o ka ithuta ka mokhoa o atlehileng haholoanyane me oa akaretsa lintlha tse ncha, tse lebisang ho nepahala ho holimo. Ka kakaretso, boenjiniere ba likarolo bo ntlafatsa tsebetso ea mefuta ea ho ithuta ka mochini ka ho fana ka lintlha tse nepahetseng, tse rutang, le tse nolofalitsoeng e le ho kenya letsoho, ho lumella likhakanyo tse nepahetseng haholoanyane. 