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 (headers): station code (ID), station ecoregion (ECOREGIONS), type of gap-filling model (mod_pred or bc_pred; MOD), pairwise number of dates used to calculate the metrics (n_data), refined index of agreement (dr), mean absolute error (mae), root mean squared error (rmse), normalized mean absolute error (nmae), normalized root mean squared error (nrmse), accuracy (accuracy), precision (precision), recall (recall), F-measure (f1), balanced accuracy (bcc), G-mean (g_mean). In addition, the percentage of wet days was added (wet_day).