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This function cuts by quantiles on absolute and percentual errors
mplot_cuts_error( tag, score, splits = 10, title = NA, model_name = NA, save = FALSE, subdir = NA, file_name = "viz_ncuts_error.png" )
Plot with error results by cuts.
Vector. Real known label.
Vector. Predicted value or model's result.
Integer. Number of separations to plot
Character. Title to show in plot
Character. Model's name
Boolean. Save output plot into working directory
Character. Sub directory on which you wish to save the plot
Character. File name as you wish to save the plot
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()
mplot_conf()
mplot_cuts()
mplot_density()
mplot_full()
mplot_gain()
mplot_importance()
mplot_lineal()
mplot_metrics()
mplot_response()
mplot_roc()
mplot_splits()
mplot_topcats()
Sys.unsetenv("LARES_FONT") # Temporal data(dfr) # Results for AutoML Predictions head(dfr$regr) mplot_cuts_error(dfr$regr$tag, dfr$regr$score, model_name = "Titanic Fare Model" )
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