ks_score: KS score

In jrgazola/stepKS: StepWise with KS metric

KS score

Description

This function score (0-1000) a dataset with a binary classification model, also compute the KS score of the model.

Usage

ks_score(
  data,
  y,
  sample_col,
  model = NULL,
  score = NULL,
  return_data = TRUE,
  ks_precision = TRUE,
  quebras = NULL,
  score_var_name = "CON_stepKS_score",
  return_ks_num = NULL,
  subsample_data = 1,
  train_sample = "DES"
)

Arguments

data	R data frame object.
y	Name of you target column.
sample_col	Name of you sample column.
model	R model object.
score	Name of you score column.
return_data	If TRUE function will return the scored dataset.
ks_precision	If TRUE function will score your dataset before compute the KS Score.
quebras	If TRUE function will return quebras.
score_var_name	Name desired of computed score column.
return_ks_num	Name of you sample that the function you return the KS Score numeric.
subsample_data	Proportion of your data that fucntion will compute the KS Score.
train_sample	Name of you sample that you trained the model.

Value

scored dataset and the KS score.

jrgazola/stepKS documentation built on March 22, 2022, 12:06 a.m.