summary.ada

0th

Percentile

Summary of model fit for arbitrary data (test, validation, or training)

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

Keywords
methods
Usage
"summary"(object, n.iter=NULL, ...)
Arguments
object
object generated by 'ada'.
n.iter
specific iteration to obtain the trainig 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 ada object (see addtest), summary produces analogous information.

See Also

ada,predict.ada, plot.ada,pairs.ada

Aliases
  • summary.ada
Documentation reproduced from package ada, version 2.0-5, License: GPL

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