Back to search

Article

MLcps: Machine Learning Cumulative Performance Score for classification problems

2022-12-02

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Motivation</h4> A performance metric is a tool to measure the correctness of a trained Machine Learning (ML) model. Numerous performance metrics have been developed for classification problems making it overwhelming to select the appropriate one since each of them represents a particular aspect of the model. Furthermore, selection of a performance metric becomes harder for problems with imb...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3ca72bb4-5f45-504b-a00a-4512d1b6ecc3
DOI
10.1101/2022.12.01.518728
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
MLcps: Machine Learning Cumulative Performance Score for classification problemsDOI 10.1101/2022.12.01.518728
Select a neighboring publication to make it the new centre.