summary.maboost: Summary of model fit for arbitrary data (test, validation, or...

In maboost: Binary and Multiclass Boosting Algorithms

Description

summary lists the model information for fitted model and final confusion matrix.

Usage

## S3 method for class 'maboost'
summary(object, n.iter=NULL, ...)

Arguments

object	object generated by 'maboost'.
n.iter	specific iteration to obtain the training and testing information at.
...	other arguments not used by this function.

Details

summary produces a summary of the original function call, method used for boosting for a specific iteration, accuracy, and kappa statistic (a measure of agreement between the observed classification and predicted classification) for the training data.

In addition, if any other data set (i.e. test or validation) has been incorporated to the maboost object, summary produces analogous information.

See Also

maboost,predict.maboost

maboost documentation built on May 2, 2019, 9:34 a.m.