plot.model_profile function

Plot Dataset Level Model Profile Explanations

## S3 method for class 'model_profile'
plot(x, ..., geom = "aggregates")

Arguments

• x: a variable profile explanation, created with the model_profile function
• ...: other parameters
• geom: either "aggregates", "profiles", "points" determines which will be plotted

Returns

An object of the class ggplot.

aggregates

• colora character. Either name of a color, or hex code for a color, or _label_ if models shall be colored, or _ids_ if instances shall be colored
• sizea numeric. Size of lines to be plotted
• alphaa numeric between 0 and 1. Opacity of lines
• facet_ncolnumber of columns for the facet_wrap
• variablesif not NULL then only variables will be presented
• titlea character. Partial and accumulated dependence explainers have deafult value.
• subtitlea character. If NULL value will be dependent on model usage.

Examples

titanic_glm_model <- glm(survived~., data = titanic_imputed, family = "binomial")
explainer_glm <- explain(titanic_glm_model, data = titanic_imputed)
expl_glm <- model_profile(explainer_glm, "fare")
plot(expl_glm)

 
library("ranger")
titanic_ranger_model <- ranger(survived~., data = titanic_imputed, num.trees = 50,
                               probability = TRUE)
explainer_ranger  <- explain(titanic_ranger_model, data = titanic_imputed)
expl_ranger <- model_profile(explainer_ranger)
plot(expl_ranger)
plot(expl_ranger, geom = "aggregates")

vp_ra <- model_profile(explainer_ranger, type = "partial", variables = c("age", "fare"))
plot(vp_ra, variables = c("age", "fare"), geom = "points")

vp_ra <- model_profile(explainer_ranger, type = "partial", k = 3)
plot(vp_ra)
plot(vp_ra, geom = "profiles")
plot(vp_ra, geom = "points")

vp_ra <- model_profile(explainer_ranger, type = "partial", groups = "gender")
plot(vp_ra)
plot(vp_ra, geom = "profiles")
plot(vp_ra, geom = "points")

vp_ra <- model_profile(explainer_ranger, type = "accumulated")
plot(vp_ra)
plot(vp_ra, geom = "profiles")
plot(vp_ra, geom = "points")