<prompt> Phapang e kholo ke efe lipakeng tsa meru e sa reroang le lifate tsa liqeto?nan  <response>: Instruction in English: What is the main difference between random forests and decision trees? . Response in English: The main difference between random forests and decision trees lies in their construction and functioning. A decision tree is a single model, which works on the principle of recursive binary splitting. At each split, it selects the best predictor variable based on set criteria to divide the data into two branches. The process is repeated until the termination condition is met. It is often prone to overfitting as it tries to capture all variations in the training data.On the other hand, random forests are an ensemble model which consists of multiple decision trees, each built on a bootstrap sample of the training data, using random feature selection at each split. The predictions from all the trees are combined to make the final prediction, which significantly reduces variance and mitigates the problem of overfitting, making the model more robust and accurate.In summary, while both decision trees and random forests are popular methods for classification and regression, random forests differ from decision trees in their ability to reduce overfitting through the use of multiple decision trees, constructed through random selection of features and bootstrap sampling of the data. . Response in Sesotho: Phapang e kholo lipakeng tsa meru e sa reroang le lifate tsa liqeto ke kahong ea tsona le tsebetsong ea tsona. Sefate sa liqeto ke mohlala o le mong, o sebetsang ka molao-motheo oa ho arohana ha binary. Karohanong e ngoe le e ngoe, e khetha phapang e ntle ka ho fetisisa ea ho bolela esale pele ho latela litekanyetso tse behiloeng ho arola data ka makala a mabeli. Tsebetso e phetoa ho fihlela boemo ba ho felisoa bo finyelloa. Hangata e na le tšekamelo ea ho fetella ha e ntse e leka ho hapa mefuta eohle ea lintlha tsa koetliso. Ka lehlakoreng le leng, meru e sa reroang ke mohlala o kopaneng o nang le lifate tse ngata tsa liqeto, se seng le se seng se hahiloe holima sampole ea bootstrap ea data ea koetliso, ho sebelisoa khetho ea likarolo tse sa reroang nakong e ngoe le e ngoe. Lintho tse boletsoeng esale pele tse tsoang lifateng tsohle li kopantsoe ho etsa polelo ea ho qetela, e leng ho fokotsang phapang haholo le ho fokotsa bothata ba ho feta, ho etsa hore mohlala o be matla le o nepahetseng. Ka kakaretso, le hoja lifate tsa liqeto le meru e sa tloaelehang e le mekhoa e tloaelehileng ea ho arola le ho fokotseha, meru e sa tloaelehang e fapane le lifate tsa liqeto ka bokhoni ba tsona ba ho fokotsa ho feta ka ho sebelisa lifate tse ngata tsa liqeto, tse hahiloeng ka khetho e sa lebelloang ea likarolo le sampling ea bootstrap ea data. . 