| • माध्य निरपेक्ष त्रुटि | |
| mean: बीच औसत मध्यवर्ती | |
| absolute: परम सिद्धांत परम | |
| absolute error: निरपेक्ष त्रुटि | |
| error: गलती त्रुटि दोष | |
mean absolute error मीनिंग इन हिंदी
mean absolute error उदाहरण वाक्य
उदाहरण वाक्य
अधिक: आगे- The mean absolute error used the same scale as the data being measured.
- The mean absolute error is one of a number of ways of comparing forecasts with their eventual outcomes.
- This property, undesirable in many applications, has led researchers to use alternatives such as the mean absolute error, or those based on the median.
- The two most popular measures of accuracy that incorporate the forecast error are the Mean Absolute Error ( MAE ) and the Root Mean Squared Error ( RMSE ).
- The study found : " With few exceptions, the private sector forecasts are less biased and more accurate in terms of mean absolute error and root mean square error.
- Such functions include the mean squared error, root mean squared error, mean absolute error, relative squared error, root relative squared error, relative absolute error, and others.
- The mean absolute error is a common measure of forecast error in time series analysis, where the terms " mean absolute deviation " is sometimes used in confusion with the more standard definition of mean absolute deviation.
- Where a prediction model is to be fitted using a selected performance measure, in the sense that the least squares approach is related to the mean squared error, the equivalent for mean absolute error is least absolute deviations.
- Forecast skill for single-value forecasts is commonly represented in terms of metrics such as correlation, root mean squared error, mean absolute error, relative mean absolute error, bias, and the Brier score, among others.
- Forecast skill for single-value forecasts is commonly represented in terms of metrics such as correlation, root mean squared error, mean absolute error, relative mean absolute error, bias, and the Brier score, among others.
