SC-PREC4SA gap-filling metrics (glm)

A file (.csv) provides information about each station's gap-filling evaluation metrics for the development of a serially complete daily precipitation dataset for South America (SC-PREC4SA). The file contains the following information (<b>headers</b>): station code (<b>ID</b>), station ecoregion (<b>ECOREGIONS</b>), type of gap-filling model (mod_pred or bc_pred; <b>MOD</b>), pairwise number of dates used to calculate the metrics (<b>n_data</b>), refined index of agreement (<b>dr</b>), mean absolute error (<b>mae</b>), root mean squared error (<b>rmse</b>), normalized mean absolute error (<b>nmae</b>), normalized root mean squared error (<b>nrmse</b>), accuracy (<b>accuracy</b>), precision (<b>precision</b>), recall (<b>recall</b>), F-measure (<b>f1</b>), balanced accuracy (<b>bcc</b>), G-mean (<b>g_mean</b>). In addition, the percentage of wet days was added (<b>wet_day</b>).