# NOT RUN {
# }
# NOT RUN {
library("ranger")
titanic_ranger_model <- ranger(survived~., data = titanic_imputed, num.trees = 100,
probability = TRUE)
# It's a good practice to pass data without target variable
explainer_ranger <- explain(titanic_ranger_model, data = titanic_imputed[,-8],
y = titanic_imputed$survived)
# resulting dataframe has predicted values and residuals
mp_ex_rn <- model_performance(explainer_ranger)
mp_ex_rn
plot(mp_ex_rn)
# }
# NOT RUN {
# }
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