Plot results of a Forward feature selection or best subset selection
Source:R/plot_ffs.R
plot_ffs.Rd
plot_ffs() is deprecated and will be removed soon. Please use generic plot() function on ffs object. A plotting function for a forward feature selection result. Each point is the mean performance of a model run. Error bars represent the standard errors from cross validation. Marked points show the best model from each number of variables until a further variable could not improve the results. If type=="selected", the contribution of the selected variables to the model performance is shown.
Usage
plot_ffs(
ffs_model,
plotType = "all",
palette = rainbow,
reverse = FALSE,
marker = "black",
size = 1.5,
lwd = 0.5,
pch = 21,
...
)
Arguments
- ffs_model
Result of a forward feature selection see
ffs
- plotType
character. Either "all" or "selected"
- palette
A color palette
- reverse
Character. Should the palette be reversed?
- marker
Character. Color to mark the best models
- size
Numeric. Size of the points
- lwd
Numeric. Width of the error bars
- pch
Numeric. Type of point marking the best models
- ...
Further arguments for base plot if type="selected"