rf.data

This dataset contains example data from a Random Forest model.

datasets

Calculates robust Matthews Correlation Coefficient (MCC) and robust F-Beta Scores, as introduced by Holzmann and Klar (2024) <doi:10.48550/arXiv.2404.07661>.
These performance metrics are designed for imbalanced classification problems.
Plots the receiver operating characteristic curve (ROC curve) together with the recall / 1-precision curve.

Bernhard Klar

RobustMetrics

Calculates Robust Performance Metrics for Imbalanced
Classification Problems

Bernhard Klar 

Hajo Holzmann

rf.data function

A data frame with 2 columns:<dl>
 <dt>actual</dt>
<dd>Actual values</dd> <dt>predicted</dt>
<dd>Predicted probabilities</dd>
</dl>

Format

Example Random Forest Data — rf.data

A data frame with 2 columns:<dl>
 <dt>actual</dt>
<dd>Actual values</dd>

 <dt>predicted</dt>
<dd>Predicted probabilities</dd>


</dl>

rf.data: Example Random Forest Data

Description

Usage

Arguments

Format

References