forestPerformance

the confusion matrix of a validated Random Forest model


This function provides the accuracy and the recall of a Random Forest model


A collection of tools for multivariate analysis of metabolomics
data, which includes several preprocessing methods (normalization, scaling)
and various exploration and data visualization techniques (Principal
Components Analysis and Multi Dimensional Scaling). The core of the package
is the Random Forest algorithm used for the construction, optimization and
validation of classification models with the aim of identifying potentially
relevant biomarkers.

forestPerformance: Characterizing the performance of a Random Forest model

Description

Usage

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