Cargando…
Benchmarking Analysis of the Accuracy of Classification Methods Related to Entropy
In the machine learning literature we can find numerous methods to solve classification problems. We propose two new performance measures to analyze such methods. These measures are defined by using the concept of proportional reduction of classification error with respect to three benchmark classif...
Autores principales: | Orenes, Yolanda, Rabasa, Alejandro, Rodriguez-Sala, Jesus Javier, Sanchez-Soriano, Joaquin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306704/ https://www.ncbi.nlm.nih.gov/pubmed/34356391 http://dx.doi.org/10.3390/e23070850 |
Ejemplares similares
-
An Entropy-Based Method with a New Benchmark Dataset for Chinese Textual Affective Structure Analysis
por: Xiong, Shufeng, et al.
Publicado: (2023) -
Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions
por: Rozo, Andrea, et al.
Publicado: (2021) -
Prediction of Protein Mutational Free Energy: Benchmark and Sampling Improvements Increase Classification Accuracy
por: Frenz, Brandon, et al.
Publicado: (2020) -
Benchmarking inference methods for water quality monitoring and status classification
por: Jung, Hoseung, et al.
Publicado: (2020) -
Entropy Estimators in SAR Image Classification
por: Cassetti, Julia, et al.
Publicado: (2022)