<prompt> Hlalosa hore na leeme la mohlala ke eng.nan  <response>: Instruction in English: Explain what model bias is. . Response in English: Model bias refers to a systematic error that occurs when a machine learning model produces results that are consistently prejudiced due to erroneous assumptions in the learning process. Bias in a model often arises from inherent biases in the data used to train the model, lack of diversity in the data set, or flawed model design that fails to consider all relevant factors. As a result, the model may produce inaccurate or unfair results when making predictions or decisions. It is important to identify and address potential sources of bias in the development of machine learning models to ensure that they are fair and accurate. . Response in Sesotho: Leeme la mohlala le bolela phoso e hlophisitsoeng e etsahalang ha mofuta oa ho ithuta oa mochini o hlahisa liphetho tse lulang li leeme ka lebaka la menahano e fosahetseng nakong ea ho ithuta. Leeme moetsong hangata le hlaha ka lebaka la leeme la tlhaho ho data e sebelisoang ho koetlisa mohlala, khaello ea mefuta-futa ea sete ea data, kapa moralo o fosahetseng o sa nahaneleng lintlha tsohle tse amehang. Ka lebaka leo, mohlala o ka hlahisa litholoana tse sa nepahalang kapa tse sa lokang ha o etsa likhakanyo kapa liqeto. Ho bohlokoa ho tseba le ho sebetsana le mehloli e ka bang teng ea leeme ho ntsetsopele ea mefuta ea ho ithuta ka mochini ho netefatsa hore e nepahetse ebile e nepahetse. 