loglossBinary

<p>Vector. Predicted value or model's result</p>

score

<p>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.</p>

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,
Exploratory, and Scrapper, it helps the analyst or data scientist to get quick and robust
results, without the need of repetitive coding or extensive programming skills.

Bernardo Lares

loglossBinary: Logarithmic Loss Function for Binary Models

Description

Usage

Arguments

See Also