Plot training and testing performance boxplots of multiple Supervised or SupervisedRes objects
Usage
present.list(
x,
metric = NULL,
model_names = NULL,
ylim = NULL,
theme = choose_theme(),
boxpoints = "all",
filename = NULL,
file_width = 800,
file_height = 600,
file_scale = 1,
verbosity = 1L
)Arguments
- x
List of
SupervisedorSupervisedResobjects.- metric
Character: Metric to plot.
- model_names
Character: Names of models being plotted.
- ylim
Numeric vector of length 2: y-axis limits for the boxplots.
- theme
Themeobject.- boxpoints
Character: "all", "outliers", or "suspectedoutliers". Determines how points are displayed in the boxplot.
- filename
Character: Filename to save the plot to.
- file_width
Numeric: Width of the exported image in pixels.
- file_height
Numeric: Height of the exported image in pixels.
- file_scale
Numeric: Scale factor for the exported image.
- verbosity
Integer: Verbosity level.