| Name : R-AllMetrics
| |
| Version : 0.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.2
| Date : 2024-06-14 10:57:21
|
| Group : Development/Libraries/Other
| Source RPM : R-AllMetrics-0.2.1-lp153.2.2.src.rpm
|
| Size : 0.01 MB
| |
| Packager : (none)
| |
| Summary : Calculating Multiple Performance Metrics of a Prediction Model
|
Description :
Provides a function to calculate multiple performance metrics for
actual and predicted values. In total eight metrics will be calculated
for particular actual and predicted series. Helps to describe a
Statistical model\'s performance in predicting a data. Also helps to
compare various models\' performance. The metrics are Root Mean Squared
Error (RMSE), Relative Root Mean Squared Error (RRMSE), Mean absolute
Error (MAE), Mean absolute percentage error (MAPE), Mean Absolute
Scaled Error (MASE), Nash-Sutcliffe Efficiency (NSE), Willmott’s Index
(WI), and Legates and McCabe Index (LME). Among them, first five are
expected to be lesser whereas, the last three are greater the better.
More details can be found from Garai and Paul (2023)
< doi:10.1016/j.iswa.2023.200202> and Garai et al. (2024)
< doi:10.1007/s11063-024-11552-w>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
