View source: R/plot_prediction.R
plot_prediction | R Documentation |
Plot of predicted response vs observed or variable Values.
plot_prediction(object, ..., variable = "_y_", smooth = FALSE, abline = FALSE)
plotPrediction(object, ..., variable = NULL, smooth = FALSE, abline = FALSE)
object |
An object of class |
... |
Other |
variable |
Name of variable to order residuals on a plot.
If |
smooth |
Logical, indicates whenever smooth line should be added. |
abline |
Logical, indicates whenever function |
A ggplot2 object.
dragons <- DALEX::dragons[1:100, ]
# fit a model
model_lm <- lm(life_length ~ ., data = dragons)
lm_audit <- audit(model_lm, data = dragons, y = dragons$life_length)
# validate a model with auditor
mr_lm <- model_residual(lm_audit)
# plot results
plot_prediction(mr_lm, abline = TRUE)
plot_prediction(mr_lm, variable = "height", smooth = TRUE)
plot(mr_lm, type = "prediction", abline = TRUE)
library(randomForest)
model_rf <- randomForest(life_length~., data = dragons)
rf_audit <- audit(model_rf, data = dragons, y = dragons$life_length)
mr_rf <- model_residual(rf_audit)
plot_prediction(mr_lm, mr_rf, variable = "height", smooth = TRUE)
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