loglossBinary

This function calculates log loss/cross-entropy loss for binary
models. NOTE: when result is 0.69315, the classification is neutral;
it assigns equal probability to both classes.

Auxiliary package for better/faster analytics, visualization, data mining, and machine
learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling,
Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or
data scientist to get quick and robust results, without the need of repetitive coding or
advanced R programming skills.

Bernardo Lares

lares

Analytics & Machine Learning Sidekick

loglossBinary function

<dl><dt>tag</dt>
<dd>Vector. Real known label</dd>
<dt>score</dt>
<dd>Vector. Predicted value or model's result</dd>
<dt>eps</dt>
<dd>Numeric. Epsilon value</dd></dl>

Arguments

Logarithmic Loss Function for Binary Models — loglossBinary

<dl>

<dt>tag</dt>
<dd>Vector. Real known label</dd>


<dt>score</dt>
<dd>Vector. Predicted value or model's result</dd>


<dt>eps</dt>
<dd>Numeric. Epsilon value</dd>

</dl>

loglossBinary: Logarithmic Loss Function for Binary Models

Description

Usage

Arguments

See Also