summary.ModelComparison: Gives a summary of the models used in the ModelComparison...

In orionw/ModelComparison: A package to run and compare standard machine learning models with easy visualization

Description

Gives a summary of the models used in the ModelComparison object

Usage

## S3 method for class 'ModelComparison'
summary(object, extra = TRUE, ...)

Arguments

object	the ModelComparison object to summarize
extra	a boolean value on whether accuracy values will be returned, if present. By default this value is TRUE
...	Other arguments, if needed

Value

NULL, only prints out

Examples

# load the csv file for the dataset "titanic"
# titanic <- PrepareNumericTitanic()
# create the ModelComparison object by passing in the training set and training labels
# comp <- GetModelComparisons(titanic[, -1], titanic[, 1])
# predict by passing in the new df for the object to predict on
# summary(comp)

orionw/ModelComparison documentation built on Nov. 4, 2019, 11:11 p.m.