Description Usage Arguments Value Examples
View source: R/ModelGeneration.R
Gives a summary of the models used in the ModelComparison object
1 2 |
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 |
NULL, only prints out
1 2 3 4 5 6 | # 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)
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