summary.uplift

Summary method for the uplift function

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

summary.uplift function

<dl><dt>object</dt>
<dd>Return value from <code>evalbin</code></dd>
<dt>prn</dt>
<dd>Print full table of measures per model and bin</dd>
<dt>dec</dt>
<dd>Number of decimals to show</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Summary method for the uplift function — summary.uplift

<dl>

<dt>object</dt>
<dd>Return value from <code>evalbin</code></dd>


<dt>prn</dt>
<dd>Print full table of measures per model and bin</dd>


<dt>dec</dt>
<dd>Number of decimals to show</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

summary.uplift: Summary method for the uplift function

Description

Usage

Arguments

Details

See Also

Examples