ks_obtener: ks_obtener

In GabyP/evaluaModelo: Evaluates the performance of glm model with binomial family

Description

get Komolgorov-Smirnov value test for an already trained model, given data, predicted probabilities and target name. .

Usage

ks_obtener(tbla, pred_prob_name, target_name)

Arguments

tbla	table with data. It has to have the target_name
pred_prob_name	the name fo the column with predicted probabilities.
target_name	the target variable used to train the model.

Examples

set.seed(1)
formula_model=as.formula(vs~ mpg+cyl+disp)
tbla=mtcars
modelo_object = glm(formula_model, family=binomial, data = tbla)
tbla$pred_prob<-predict(modelo_object, tbla,type=c("response"))
ks_obtener(tbla,modelo_object, target_name='vs')

GabyP/evaluaModelo documentation built on June 9, 2019, 4:52 a.m.