<prompt> Fana ka mehlala e 3 ea mekhoa ea ho ithuta ka mochini e hlokometsoeng.nan  <response>: Instruction in English: Give 3 examples of supervised machine learning algorithms. . Response in English: Supervised machine learning algorithms are used to build models by learning from the input data with predefined labels or outputs. Here are three examples:1. Linear Regression: used for predicting continuous values based on the historical data by finding the linear relationship between two variables response and feature. For instance, predicting the housing price based on its size.2. Support Vector Machines SVM: This algorithm is used for classification, where data is divided into classes using a hyperplane. It can work with both linearly or non-linearly separable data to create an optimal boundary that separates the classes.3. Decision Trees: used for both classification and regression problems. Decision trees work by creating branches of conditions to make the decision or the prediction. These conditions are based on the input features and are iteratively selected to improve the accuracy of the model on the dataset.These algorithms require labeled data to train the model, which is then tested using the test dataset. The final model is achieved after a series of iterations to improve the accuracy of the predictionclassification. . Response in Sesotho: Litaolo tsa ho ithuta ka mochini tse hlokometsoeng li sebelisoa ho theha mefuta ka ho ithuta ho tsoa ho data e kentsoeng ka lileibole kapa liphetho tse boletsoeng esale pele. Mehlala e meraro ke ena: 1. Linear Regression: e sebelisetsoang ho bolela esale pele litekanyetso tse tsoelang pele tse thehiloeng ho data ea histori ka ho fumana kamano ea linear pakeng tsa mefuta e meli karabo le tšobotsi. Mohlala, ho bolela esale pele theko ea matlo ho latela boholo ba eona. 2. Mechini ea Vector ea Tšehetso SVM: Algorithm ena e sebelisetsoa ho arola, moo data e arotsoeng ka lihlopha ho sebelisa hyperplane. E ka sebetsa le data ka bobeli e arohaneng ka mela kapa e seng ka mela ho theha moeli o nepahetseng o arolang lihlopha. 3. Lifate tsa Liqeto: li sebelisetsoa mathata a mabeli a lihlopha le a ho khutlela morao. Lifate tsa liqeto li sebetsa ka ho theha makala a maemo ho etsa qeto kapa ho bolela esale pele. Maemo ana a ipapisitse le likarolo tsa ho kenya me a khethoa khafetsa ho ntlafatsa ho nepahala ha mohlala ho dataset. Li-algorithms tsena li hloka data e ngolisitsoeng ho koetlisa mohlala, ebe o lekoa ho sebelisoa dataset ea liteko. Mohlala oa ho qetela o finyelloa ka mora letoto la ho pheta-pheta ho ntlafatsa ho nepahala ha ponelopele lihlopha. 