<prompt> Hlahisa metric bakeng sa ho etsa qeto ea hore na ke mofuta ofe o sebetsang hantle bakeng sa bothata bo itseng.nan  <response>: Instruction in English: Suggest a metric for deciding which model performs better for a given problem. . Response in English: There are several metrics for deciding which model performs better for a given problem. The choice of metric depends on the specific problem and the objectives of the model.Some common metrics for classification problems are accuracy, precision, recall, F1 score, and area under the receiver operating characteristic ROC curve. For example, accuracy measures the proportion of correct predictions, while precision measures the proportion of true positive predictions among all positive predictions. The F1 score is the harmonic mean of precision and recall. The area under the ROC curve measures the ability of the model to correctly distinguish between positive and negative classes.For regression problems, common metrics include mean absolute error MAE, mean squared error MSE, root mean squared error RMSE, and R-squared. For example, MAE measures the average absolute difference between the predicted and true values, while MSE measures the average squared difference. RMSE is the square root of MSE and has the same units as the predicted and true values. R-squared measures the proportion of variance in the true values that is explained by the model.Ultimately, the choice of metric should be guided by the specific problem at hand and the goals of the model. . Response in Sesotho: Ho na le metrics e mengata ea ho etsa qeto ea hore na ke mofuta ofe o sebetsang hantle bakeng sa bothata bo itseng. Khetho ea metric e itšetlehile ka bothata bo itseng le merero ea mohlala. Maemo a mang a tloaelehileng bakeng sa mathata a ho hlopha ke ho nepahala, ho nepahala, ho hopola, lintlha tsa F1, le sebaka se tlasa curve ea moamoheli ROC. Ka mohlala, ho nepahala ho lekanya karolo ea likhakanyo tse nepahetseng, ha ho nepahala ho lekanya karolo ea likhakanyo tse nepahetseng tsa nete hara likhakanyo tsohle tse nepahetseng. Lintlha tsa F1 ke moelelo oa harmonic oa ho nepahala le ho hopola. Sebaka se tlasa ROC curve se lekanya bokhoni ba mohlala ho khetholla ka nepo pakeng tsa lihlopha tse ntle le tse mpe. Bakeng sa mathata a ho khutlela morao, metrics e tloaelehileng e kenyelletsa mean absolute error MAE, mean squared error MSE, root mean squared error RMSE, le R-squared. Ka mohlala, MAE e lekanya karolelano ea phapang e feletseng pakeng tsa litekanyetso tse boletsoeng esale pele le tsa nete, ha MSE e lekanya phapang e tloaelehileng ea lisekoere. RMSE ke motso oa lisekoere oa MSE me e na le likarolo tse tšoanang le tsa boleng bo boletsoeng esale pele le ba nete. R-squared e lekanya karolo ea phapang ea litekanyetso tsa nete tse hlalosoang ke mohlala. Qetellong, khetho ea metric e lokela ho tataisoa ke bothata bo itseng bo teng le lipakane tsa mohlala. 