<prompt> Bolela mefuta e mene ea thuto e hlokometsoengnan  <response>: Instruction in English: Name four types of supervised learning . Response in English: Four types of supervised learning are:1. Regression: This method is used to predict a continuous outcome variable dependent variable based on one or more predictor variables independent variables.2. Classification: This method is used to classify data into predefined categories or classes based on the provided inputs. Some of the common classification algorithms include Logistic Regression, Naïve Bayes, and Support Vector Machines SVM.3. Decision Trees: This method uses decision trees to create a training model that can predict the class or value of the target variable based on several input variables.4. K-nearest neighbors KNN: This algorithm classifies a new observation based on the classes of its k nearest neighbors in the training data. The value of k is usually chosen through cross-validation. . Response in Sesotho: Mefuta e mene ea thuto e hlokometsoeng ke: 1. Ho ikhula morao: Mokhoa ona o sebelisoa ho bolela esale pele phetoho e tsoelang pele ea sephetho e itšetlehileng ka mefuta e mengata e itšetlehileng ka mofuta o le mong kapa ho feta mefuta e ikemetseng. 2. Classification: Mokhoa ona o sebelisoa ho arola lintlha ka lihlopha kapa lihlopha tse boletsoeng esale pele ho latela lintlha tse fanoeng. Tse ling tsa li-algorithms tse tloaelehileng tsa likarolo li kenyelletsa Logistic Regression, Naïve Bayes, le Mechini ea Tsehetso ea Vector SVM. 3. Lifate tsa Liqeto: Mokhoa ona o sebelisa lifate tsa liqeto ho etsa mohlala oa koetliso o ka bolelang esale pele sehlopha kapa boleng ba sepheo se feto-fetohang ho latela mefuta e mengata ea ho kenya letsoho. 4. Baahelani ba K-haufi KNN: Algorithm ena e hlophisa tlhokomeliso e ncha ho latela litlelase tsa k baahelani ba eona ba haufi le data ea koetliso. Boleng ba k hangata bo khethoa ka netefatso ea sefapano. 