<prompt> Hlahisa mohopolo o fanoeng ka mohlalaThuto e hlokometsoeng  <response>: Instruction in English: Illustrate the given concept with an example . Response in English: Supervised learning is a machine learning method where an algorithm is trained on a labelled dataset, where the desired output is already known. The algorithm learns the relationship between the input features and the output labels to make predictions for new, unseen data.An example of supervised learning can be seen in email spam filtering. Lets say you have a large collection of emails, some of which are marked as spam and others as not spam. The emails serve as the input data and the spamnot spam labels serve as the output labels. A supervised learning algorithm, such as a Naive Bayes classifier, can be trained on this labelled email data to learn the characteristics of spam and not spam emails. After training, the algorithm can then predict whether or not a new, incoming email is likely to be spam or not.In this example, the algorithm was trained on labelled data in a supervised manner and can make accurate predictions on new emails, effectively filtering out spam emails. . Response in Sesotho: Thuto e hlokometsoeng ke mokhoa oa ho ithuta ka mochine moo algorithm e koetlisetsoang ho dataset e ngotsoeng, moo tlhahiso e lakatsehang e seng e tsejoa. Algorithm e ithuta kamano pakeng tsa likarolo tsa ho kenya le li-label tsa tlhahiso ho etsa likhakanyo bakeng sa lintlha tse ncha, tse sa bonoeng. Mohlala oa thuto e laoloang e ka bonoa ho sefang sa spam sa imeile. Ha re re u na le pokello e kholo ea li-imeile, tse ling tsa tsona li tšoailoe e le spam me tse ling e se spam. Li-imeile li sebetsa e le lintlha tse kentsoeng, me mangolo a spameseng a sebetsa e le li-leibole tsa tlhahiso. Mokhoa oa ho ithuta o hlokometsoeng, joalo ka mohlophisi oa Naive Bayes, o ka koetlisoa ho data ena ea lengolo-tsoibila ho ithuta litšobotsi tsa spam eseng li-imeile tsa spam. Ka mora koetliso, algorithm e ka bolela esale pele hore na imeile e ncha, e kenang e ka na ea e-ba spam kapa che. Mohlaleng ona, algorithm e ne e koetliselitsoe ho data e ngolisitsoeng ka mokhoa o hlokometsoeng mme e ka etsa likhakanyo tse nepahetseng ho li-imeile tse ncha, ea hlakola li-imeile tsa spam ka nepo. 