M2N50F5

A data frame contains labels and scores for 5-fold test sets.

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

M2N50F5 function

A data frame with 4 columns.<dl>
 <dt>score1</dt>
<dd>50 random scores</dd> <dt>score2</dt>
<dd>50 random scores</dd> <dt>label</dt>
<dd>50 labels as 'pos' or 'neg'</dd> <dt>fold</dt>
<dd>50 fold IDs as 1:5</dd>
</dl>

Format

5-fold cross validation sample. — M2N50F5

A data frame with 4 columns.<dl>
 <dt>score1</dt>
<dd>50 random scores</dd>

 <dt>score2</dt>
<dd>50 random scores</dd>

 <dt>label</dt>
<dd>50 labels as 'pos' or 'neg'</dd>

 <dt>fold</dt>
<dd>50 fold IDs as 1:5</dd>


</dl>

M2N50F5: 5-fold cross validation sample.

Description

Usage

Arguments

Format