ezr.gainslift: Gains, Lift, and KS Calculator

In jmp1989/easyr: Helpful wrappers for common EDA, Data Manipulation, & Modeling

Description

Outputs a dataframe that has the cumulative capture rate, gains, and KS metrics at each 1

Usage

ezr.gainslift(df, binary_target, prediction, higher_morelikely = TRUE,
  round_value = 6, concise_result = TRUE)

Arguments

df	Dataframe of prediction results
binary_target	Should work for either numeric or factor. Must be 0s and 1s though.
prediction	The prediction value. Higher values = higher chance of obtaining a 1
higher_morelikely	Default is TRUE. If a higher prediction value is more likely to be a 1. Set to false if higher is going to be a 0.
round_value	Default is 2. Rounds values to 2 decimal places for a nicer user experience.
concise_result	Default is TRUE. Won't print every record of gainslift table.

Value

Returns a dataframe with various metrics at each progression into the scorecard.

Examples

ezr.gainslift(df = dataset_telco_churn_from_kaggle, binary_target = 'Churn', prediction ='TotalCharges',higher_morelikely = FALSE )

jmp1989/easyr documentation built on May 20, 2019, 7:25 a.m.