brier_score

Calculate the Brier Score for a set of predicted probabilities and observed outcomes.
 The Brier Score is a measure of the accuracy of probabilistic predictions. It is commonly used in the evaluation of predictive models.

A novel ensemble method employing Support Vector Machines (SVMs) as base learners. This powerful ensemble model is designed for both classification (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et. al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility and robust performance across different datasets and compared with other consolidated methods as Random Forests (Maia M, et. al, 2021) <doi:10.6339/21-JDS1025>.

Mateus Maia

randomMachines

An Ensemble Modeling using Random Machines

Anderson Ara

Gabriel Ribeiro

brier_score function

<dl><dt>prob</dt>
<dd>predicted probabilities</dd>
<dt>observed</dt>
<dd>\(y\) observed values (it assumed that the positive class is coded is equal to one and the negative 0)</dd>
<dt>levels</dt>
<dd>A string vector with the original levels from the target variable</dd></dl>

Arguments

Brier Score function — brier_score

<dl>

<dt>prob</dt>
<dd>predicted probabilities</dd>


<dt>observed</dt>
<dd>\(y\) observed values (it assumed that the positive class is coded is equal to one and the negative 0)</dd>


<dt>levels</dt>
<dd>A string vector with the original levels from the target variable</dd>

</dl>

brier_score: Brier Score function

Description

Usage

Value

Arguments