mplot_cuts: Cuts by quantiles for score plot

In lares: Analytics & Machine Learning Sidekick

Cuts by quantiles for score plot

Description

This function cuts by quantiles any score or prediction.

Usage

mplot_cuts(
  score,
  splits = 10,
  model_name = NA,
  subtitle = NA,
  table = FALSE,
  save = FALSE,
  subdir = NA,
  file_name = "viz_ncuts.png"
)

Arguments

score	Vector. Predicted value or model's result.
splits	Integer. Numer of separations to plot
model_name	Character. Model's name
subtitle	Character. Subtitle to show in plot
table	Boolean. Do you wish to return a table with results?
save	Boolean. Save output plot into working directory
subdir	Character. Sub directory on which you wish to save the plot
file_name	Character. File name as you wish to save the plot

Value

Plot with performance results by cuts.

See Also

Other ML Visualization: mplot_conf(), mplot_cuts_error(), mplot_density(), mplot_full(), mplot_gain(), mplot_importance(), mplot_lineal(), mplot_metrics(), mplot_response(), mplot_roc(), mplot_splits(), mplot_topcats()

Examples

Sys.unsetenv("LARES_FONT") # Temporal
data(dfr) # Results for AutoML Predictions
head(dfr$class2)

# Data
mplot_cuts(dfr$class2$scores, splits = 5, table = TRUE)

# Plot
mplot_cuts(dfr$class2$scores, model_name = "Titanic Survived Model")

lares documentation built on Sept. 13, 2024, 1:08 a.m.