<prompt> Sisinya metric ho metha ho nepahala ha sistimi ea ponelopele.nan  <response>: Instruction in English: Suggest a metric to measure the accuracy of a forecasting system. . Response in English: One of the most commonly used metrics to measure the accuracy of a forecasting system is the Mean Absolute Error MAE. This metric calculates the average absolute difference between the forecasted values and the actual values. MAE is easy to calculate and interpret, as it provides a clear measure of the magnitude of the forecasting errors.Another useful metric for measuring the accuracy of a forecasting system is the Mean Absolute Percentage Error MAPE. This metric calculates the average absolute difference between the forecasted values and the actual values expressed as a percentage of the actual values. MAPE is useful when comparing the accuracy of forecasts across different scales, as it provides a measure of the relative size of the errors.Root Mean Squared Error RMSE is also a popular metric for measuring the accuracy of a forecasting system. RMSE calculates the square root of the average squared difference between the forecasted values and the actual values. RMSE is sensitive to large errors, which makes it useful for detecting outliers and large discrepancies in forecasting accuracy.Ultimately, the choice of metric for measuring the accuracy of a forecasting system will depend on the specific needs and goals of the user. It is often useful to use a combination of different metrics to gain a more comprehensive understanding of forecasting accuracy. . Response in Sesotho: ngoe ea metrics e sebelisoang haholo ho lekanya ho nepahala ha mokhoa oa ho bolela esale pele ke Mean Absolute Error MAE. Metric ena e lekanya karolelano ea phapang e felletseng lipakeng tsa boleng bo boletsoeng esale pele le boleng ba nete. MAE e bonolo ho bala le ho e hlalosa, kaha e fana ka tekanyo e hlakileng ea boholo ba liphoso tsa ho bolela esale pele. Metric e ngoe ea bohlokoa bakeng sa ho lekanya ho nepahala ha sistimi ea ponelopele ke Mean Absolute Percentage Error MAPE. Metric ena e lekanya karolelano ea phapang e felletseng lipakeng tsa boleng bo boletsoeng esale pele le boleng ba nete bo hlahisoang e le peresente ea boleng ba nnete. MAPE e na le thuso ha e bapisa ho nepahala ha likhakanyo tse fapaneng, kaha e fana ka tekanyo ea boholo ba liphoso. Root Mean Squared Error RMSE hape ke metric e tsebahalang ea ho lekanya ho nepahala ha sistimi ea ponelopele. RMSE e bala square root ea karolelano ea phapang ea squared lipakeng tsa boleng bo boletsoeng esale pele le boleng ba nete. RMSE e ela hloko liphoso tse kholo, e leng se etsang hore e be thuso bakeng sa ho bona barekisi le liphapang tse kholo mabapi le ho nepahala ha ponelopele. Qetellong, khetho ea metric bakeng sa ho lekanya ho nepahala ha mokhoa oa ho bolela esale pele e tla itšetleha ka litlhoko le lipakane tse khethehileng tsa mosebedisi. Hangata ho molemo ho sebelisa motsoako oa metrics e fapaneng ho fumana kutloisiso e felletseng ea ho nepahala ha ponelopele. 