calcStats

calcStats,ExprsPredict-method

object

A logical scalar. Toggles whether to calculate area under the
receiver operating characteristic curve. See details.

aucSkip

A logical scalar. Toggles whether to plot the receiver
operating characteristic curve.

plotSkip


<code>calcStats</code> calculates classifier performance based on the class predictions
 and actual class labels stored in an <code>ExprsPredict</code> object.


Supervised machine learning has an increasingly important role in biological
studies. However, the sheer complexity of classification pipelines poses a significant
barrier to the expert biologist unfamiliar with machine learning. Moreover,
many biologists lack the time or technical skills necessary to establish their own
pipelines. This package introduces a framework for the rapid implementation of
high-throughput supervised machine learning built with the biologist user in mind.
Written by biologists, for biologists, this package provides a user-friendly interface
that empowers investigators to execute state-of-the-art binary and multi-class
classification, including deep learning, with minimal programming
experience necessary.

Thomas Quinn

exprso

Rapid Implementation of Machine Learning Algorithms for Genomic
Data

calcStats function

<ul>
<li> <code>ExprsPredict</code>: Method to calculate the performance of a deployed classifier.
</li>
</ul>

calcStats: Calculate Classifier Performance

Description

Usage

Arguments

Value

Methods (by class)

Details

See Also