<prompt> Hlalosa bohlokoa ba ho lokisa data esale pele ka lipolelo tse 3.nan  <response>: Instruction in English: Explain the importance of data preprocessing in 3 sentences. . Response in English: Data preprocessing encompasses several critical steps in preparing raw data for analysis or feeding it into a machine learning model, this is important for several reasons. First, data preprocessing helps to improve the accuracy and reliability of the output data by cleaning, transforming, and normalizing the data. Secondly, it makes it easier to analyze and interpret data by removing incomplete or irrelevant information, enabling analysts to make data-driven decisions. Finally, target features may be created or discovered during, feature engineering step of data preprocessing, boosting the accuracy of model prediction. . Response in Sesotho: Tsebetso ea pele ea data e kenyelletsa mehato e maloa ea bohlokoa ea ho lokisa data e tala bakeng sa tlhahlobo kapa ho e fepa ka mokhoa oa ho ithuta mochini, sena se bohlokoa ka mabaka a maloa. Taba ea pele, tsebetso ea data preprocessing e thusa ho ntlafatsa ho nepahala le ho tsepahala ha data e hlahisoang ka ho hloekisa, ho fetola le ho etsa hore data e tloaelehe. Taba ea bobeli, e etsa hore ho be bonolo ho sekaseka le ho toloka data ka ho tlosa tlhahisoleseling e sa fellang kapa e sa lokelang, e nolofalletsang bahlahlobisisi ho etsa liqeto tse tsamaisoang ke data. Qetellong, likarolo tse shebiloeng li ka na tsa etsoa kapa tsa sibolloa nakong ea, mohato oa boenjiniere oa ho lokisa data esale pele, ho matlafatsa ho nepahala ha mohlala oa ho bolela esale pele. 