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Cuts by quantiles on absolute and percentual errors plot

Source: R/model_plots.R
mplot_cuts_error.Rd

This function cuts by quantiles on absolute and percentual errors

Usage

mplot_cuts_error(
  tag,
  score,
  splits = 10,
  title = NA,
  model_name = NA,
  save = FALSE,
  subdir = NA,
  file_name = "viz_ncuts_error.png"
)

Arguments

tag

Vector. Real known label.

score

Vector. Predicted value or model's result.

splits

Integer. Number of separations to plot

title

Character. Title 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

Value

Plot with error results by cuts.

See also

Other ML Visualization: mplot_conf(), mplot_cuts(), 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$regr)
#>       tag    score
#> 1 11.1333 25.93200
#> 2 30.0708 39.91900
#> 3 26.5500 50.72246
#> 4 31.2750 47.81292
#> 5 13.0000 30.12853
#> 6 26.0000 13.24153
mplot_cuts_error(dfr$regr$tag, dfr$regr$score,
  model_name = "Titanic Fare Model"
)
#> Warning: No shared levels found between `names(values)` of the manual scale and the
#> data's fill values.
#> Warning: No shared levels found between `names(values)` of the manual scale and the
#> data's fill values.