prediction.metrics

finalModel

Vector of strings dictating the models that were fit

method

Original dataset prior to any training subset

raw.data

List of training indicies for each feature selection run

inTrain

List of testing data indicies for each feature selection run

outTrain

features

List of parameters that have been optimized for the each
respective model

bestTune

grp.levs

A character object specifying the stability metric

stability.metric


Performance evaluation of all fitted models.  This function
concisely provides model performance metrics, including confusion matrix
and ROC.


Tools for classification and feature selection for 'omics' level
datasets.  It is a tool to provide multiple multivariate classification
and feature selection techniques complete with multiple stability metrics
and aggregation techniques.  It is primarily designed for analysis of
metabolomics datasets but potentially extendable to proteomics and
transcriptomics applications.

Charles Jr

OmicsMarkeR

Classification and Feature Selection for 'Omics' Datasets

prediction.metrics function

Performance evaluation of all fitted models.  This function
concisely provides model performance metrics, including confusion matrix
and ROC.

prediction.metrics: Prediction Metric Calculations

Description

Usage

Arguments

Value

See Also