plotPredictedProbs

Plot histogram of assignment probabilities to predicted class. 
 This is used for determining if the model differentiates between correctly 
 and incorrectly classified samples in terms of how strongly they are 
 classified.

Estimate significance of importance metrics
for a Random Forest model by permuting the response
variable. Produces null distribution of importance
metrics for each predictor variable and p-value of
observed. Provides summary and visualization functions for 'randomForest'
results.

Eric Archer

rfPermute

Estimate Permutation p-Values for Random Forest Importance
Metrics

plotPredictedProbs function

<dl><dt>x</dt>
<dd>a <code>rfPermute</code> or <code>randomForest</code> model object.</dd>
<dt>bins</dt>
<dd>number of bins in histogram. Defaults to number of samples / 5.</dd>
<dt>plot</dt>
<dd>display the plot?</dd></dl>

Arguments

Eric Archer <a href="/link/eric.archer%40noaa.gov?package=rfPermute&version=2.5.2" data-mini-rdoc="rfPermute::eric.archer@noaa.gov">eric.archer@noaa.gov</a>

Author

Plot Predicted Probabilities — plotPredictedProbs

<dl>

<dt>x</dt>
<dd>a <code>rfPermute</code> or <code>randomForest</code> model object.</dd>


<dt>bins</dt>
<dd>number of bins in histogram. Defaults to number of samples / 5.</dd>


<dt>plot</dt>
<dd>display the plot?</dd>

</dl>

Eric Archer <a href='mailto:eric.archer@noaa.gov'>eric.archer@noaa.gov</a>

plotPredictedProbs: Plot Predicted Probabilities

Description

Usage

Value

Arguments

Author

Examples