Plot Dataset Level Model Diagnostics
Plot Dataset Level Model Diagnostics
## S3 method for class 'model_diagnostics' plot(x, ..., variable = "y_hat", yvariable = "residuals", smooth = TRUE)
x |
a data.frame to be explained, preprocessed by the |
... |
other object to be included to the plot |
variable |
character - name of the variable on OX axis to be explained, by default |
yvariable |
character - name of the variable on OY axis, by default |
smooth |
logical shall the smooth line be added |
an object of the class model_diagnostics_explainer.
apartments_lm_model <- lm(m2.price ~ ., data = apartments)
explainer_lm <- explain(apartments_lm_model,
data = apartments,
y = apartments$m2.price)
diag_lm <- model_diagnostics(explainer_lm)
diag_lm
plot(diag_lm)
library("ranger")
apartments_ranger_model <- ranger(m2.price ~ ., data = apartments)
explainer_ranger <- explain(apartments_ranger_model,
data = apartments,
y = apartments$m2.price)
diag_ranger <- model_diagnostics(explainer_ranger)
diag_ranger
plot(diag_ranger)
plot(diag_ranger, diag_lm)
plot(diag_ranger, diag_lm, variable = "y")
plot(diag_ranger, diag_lm, variable = "construction.year")
plot(diag_ranger, variable = "y", yvariable = "y_hat")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.