C3N150

A list contains labels and one score column per class for a 3-class
dataset. The three classes are separated to different degrees, so that a
one-vs-rest evaluation of them shows three clearly different curves.

datasets

Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics)
curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.

Takaya Saito

precrec

Calculate Accurate Precision-Recall and ROC (Receiver Operator
Characteristics) Curves

Marc Rehmsmeier

C3N150 function

A list with 2 items.<dl>
<dt>scores</dt>
<dd>a 150 by 3 matrix of scores, one column per class,
with the column names 'c1', 'c2' and 'c3'</dd><dt>labels</dt>
<dd>150 labels as 'c1', 'c2' or 'c3', 50 of each</dd>
</dl>

Format

Multiclass sample with three classes. — C3N150

A list with 2 items.<dl>
<dt>scores</dt>
<dd>a 150 by 3 matrix of scores, one column per class,
with the column names 'c1', 'c2' and 'c3'</dd>

<dt>labels</dt>
<dd>150 labels as 'c1', 'c2' or 'c3', 50 of each</dd>


</dl>

C3N150: Multiclass sample with three classes.

Description

Usage

Arguments

Format