Cargando…
The quest for the reliability of machine learning models in binary classification on tabular data
In this paper we explore the reliability of contexts of machine learning (ML) models. There are several evaluation procedures commonly used to validate a model (precision, F1 Score and others); However, these procedures are not linked to the evaluation of learning itself, but only to the number of c...
Autores principales: | Araujo Santos, Vitor Cirilo, Cardoso, Lucas, Alves, Ronnie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611807/ https://www.ncbi.nlm.nih.gov/pubmed/37891221 http://dx.doi.org/10.1038/s41598-023-45876-9 |
Ejemplares similares
-
ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
por: Piccolo, Stephen R, et al.
Publicado: (2020) -
Converting tabular data into images for deep learning with convolutional neural networks
por: Zhu, Yitan, et al.
Publicado: (2021) -
Modeling the breakup of tabular icebergs
por: England, Mark R., et al.
Publicado: (2020) -
Processing genome scale tabular data with wormtable
por: Kelleher, Jerome, et al.
Publicado: (2013) -
Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal data
por: Klén, Riku, et al.
Publicado: (2020)