score: Calculates predictive power score

In Gulde91/Predictive_power_score: What the Package Does (One Line, Title Case)

Description

Calculates predictive power score for x predicts y. This is a light (wip) implementation which for now only supports binary classification and x as numeric a feature.

Usage

score(
  df,
  x,
  y,
  metric = "roc_auc",
  sample_size = NULL,
  cv_folds = 5L,
  repeated_cv = 1L
)

Arguments

df	data.frame input data which contains x and y
x	str name of feature
y	str name of target
metric	str Machine learning metric to evaluate on. Choose between roc_auc, pr_auc, F1.
sample_size	int random sample taken from df to speed up calculations. If NULL all samples are used.
cv_folds	int number of cross validations folds
repeated_cv	int number of repeated cross validations

Details

for mere information: https://github.com/8080labs/ppscore

Value

The predictive power score for x.

Gulde91/Predictive_power_score documentation built on Dec. 31, 2020, 12:06 p.m.