predict,BagModel-method

This is a <code>predict</code> method for predicting new test points using a
<code>BagModel</code> class object - refering to an ensemble
of weak models whose type is selected by the user.

Provides a set of functions that can be used to obtain better predictive performance on cost-sensitive and cost/benefits tasks (for both regression and classification). This includes re-sampling approaches that modify the original data set biasing it towards the user preferences.

Paula Branco

An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks

Rita Ribeiro

Luis Torgo

predict,BagModel-method function

<dl><dt>object</dt>
<dd>A BagModel-class object.</dd>
<dt>newdata</dt>
<dd>New test data to predict using a <code>BagModel</code> object.</dd></dl>

Arguments

Predicting on new data with a BagModel model — predict,BagModel-method

<dl>

<dt>object</dt>
<dd>A BagModel-class object.</dd>


<dt>newdata</dt>
<dd>New test data to predict using a <code>BagModel</code> object.</dd>

</dl>

predict,BagModel-method: Predicting on new data with a BagModel model

Description

Usage

Value

Arguments

See Also