bin_misclass: Bin misclassification metrics
In messamat/globalIRmap: What the Package Does (One Line, Title Case)

Description Usage Arguments Details Value

Get misclassification error, sensitivity, specificity, precision, and other classification performance statistics for different subsets (i.e., bins) of the dataset.

bin_misclass(
  in_predictions = NULL,
  in_resampleresult = NULL,
  in_gaugestats = NULL,
  binvar,
  binfunc,
  binarg,
  interthresh = 0.5,
  spatial_rsp = NULL,
  rspcol = NULL
)

`in_predictions`	a data.table of predictions for a set of CV repetitions.
`in_gaugestats`	data.table with additional columns to use in binning if not included as predictor variables in model.
`binvar`	(character) column that will be used to define bins.
`binfunc`	(character) binning approach. One of 'manual', 'equal_length', 'equal_freq'. See bin_dt.
`binarg`	(numeric) binning argument, depends on binning approach. See bin_dt.
`interthresh`	(numeric) flow intermittence probability threshold above which to classify records as non-perennial
`spatial_rsp`	whether to use results from spatial (TRUE) or non-spatial (FALSE) cross-validation (only used if `in_rftuned` is provided, not `in_predictions`).
`rspcol`	column to use that contains predicted probabilities (only used if `in_predictions` is provided, not `in_rftuned`).
`in_rftuned`	Output from selecttrain_rf; list containing inner and outer resampling results + task.

This function was used for internal assessment of model performance. Right now, the options to change binvar and binfunc are not working (need some adjustment); only manual binning based on long-term mean annual discharge ('dis_m3_pyr') is possible. Update instances of 'dis_m3_pyr' for changing.

data.table with performance statistics by subset.

messamat/globalIRmap documentation built on July 4, 2021, 10:48 a.m.