Print Generic for Feature Importance Object

# S3 method for feature_importance_explainer
print(x, ...)

Arguments

x

an explanation created with feature_importance

...

other parameters.

Value

a data frame.

References

Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. https://ema.drwhy.ai/

Examples

library("DALEX") library("ingredients") model_titanic_glm <- glm(survived ~ gender + age + fare, data = titanic_imputed, family = "binomial") explain_titanic_glm <- explain(model_titanic_glm, data = titanic_imputed[,-8], y = titanic_imputed[,8], verbose = FALSE) fi_glm <- feature_importance(explain_titanic_glm) fi_glm
#> variable mean_dropout_loss label #> 1 _full_model_ 0.2640697 lm #> 2 class 0.2640697 lm #> 3 embarked 0.2640697 lm #> 4 sibsp 0.2640697 lm #> 5 parch 0.2640697 lm #> 6 age 0.2774528 lm #> 7 fare 0.2843086 lm #> 8 gender 0.3943831 lm #> 9 _baseline_ 0.5057019 lm