mplot_metrics: Model Metrics and Performance Plots

In laresbernardo/lares: Analytics & Machine Learning Sidekick

Model Metrics and Performance Plots

Description

This function generates plots of the metrics of a predictive model. This is an auxiliary function used in model_metrics() when the parameter plot is set to TRUE.

Usage

mplot_metrics(
  results,
  subtitle = NA,
  model_name = NA,
  save = FALSE,
  subdir = NA,
  file_name = "viz_metrics.png"
)

Arguments

results	Object. Results object from h2o_automl function
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

Value

Plot with results performance.

See Also

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

laresbernardo/lares documentation built on Oct. 23, 2024, 12:05 p.m.