lares (version 5.2.13)

mplot_splits: Split and compare quantiles plot

Description

This function lets us split and compare quantiles on a given prediction to compare different categorical values vs scores grouped by equal sized buckets.

Usage

mplot_splits(
  tag,
  score,
  splits = 5,
  subtitle = NA,
  model_name = NA,
  save = FALSE,
  subdir = NA,
  file_name = "viz_splits.png"
)

Value

Plot with distribution and performance results by splits.

Arguments

tag

Vector. Real known label.

score

Vector. Predicted value or model's result.

splits

Integer. Number of separations to plot

subtitle

Character. Subtitle to show in plot

model_name

Character. Model's name

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

See Also

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

Examples

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

# For categorical (binary) values
mplot_splits(dfr$class2$tag, dfr$class2$scores,
  splits = 4,
  model_name = "Titanic Survived Model"
)

# For categorical (+2) values
mplot_splits(dfr$class3$tag, dfr$class2$scores,
  model_name = "Titanic Class Model"
)

# For continuous values
mplot_splits(dfr$regr$tag, dfr$regr$score,
  splits = 4,
  model_name = "Titanic Fare Model"
)