Results 1 to 10 of about 3,096,291 (162)

Multiclass Classification Performance Curve

IEEE Access, 2022
Quality of predictive models is a critical factor. Many evaluation measures have been proposed for binary and multi–class datasets. However, less attention has been paid to graphical representation of the classification performance, where the ROC ...
Jesus S. Aguilar-Ruiz, Marcin Michalak
doaj   +2 more sources

Classification performance assessment for imbalanced multiclass data [PDF]

Scientific Reports
The evaluation of diagnostic systems is pivotal for ensuring the deployment of high-quality solutions, especially given the pronounced context-sensitivity of certain systems, particularly in fields such as biomedicine.
Jesús S. Aguilar-Ruiz, Marcin Michalak
doaj   +2 more sources

Evaluation of gene expression classification studies: factors associated with classification performance.

PLoS ONE, 2014
Classification methods used in microarray studies for gene expression are diverse in the way they deal with the underlying complexity of the data, as well as in the technique used to build the classification model.
Putri W Novianti, Kit C B Roes, Marinus J C Eijkemans   +2 more
doaj   +3 more sources

Comments on “MLCM: Multi-Label Confusion Matrix”

IEEE Access, 2023
In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for
Damir Krstinic, Ljiljana Seric, Ivan Slapnicar   +2 more
doaj   +1 more source

Visualizing Classification Results: Confusion Star and Confusion Gear

IEEE Access, 2022
Recent developments in machine learning applications are deeply concerned with the poor interpretability of most of these techniques. To gain some insights in the process of designing data-based models it is common to graphically represent the algorithm&#
Amalia Luque, Mirko Mazzoleni, Alejandro Carrasco, Antonio Ferramosca   +3 more
doaj   +1 more source

A Novel Medical Image Enhancement Algorithm for Breast Cancer Detection on Mammography Images Using Machine Learning

Diagnostics, 2023
Mammography is the most preferred method for breast cancer screening. In this study, computer-aided diagnosis (CAD) systems were used to improve the image quality of mammography images and to detect suspicious areas.
Hanife Avcı, Jale Karakaya
doaj   +1 more source

The Effect of Preprocessing Techniques, Applied to Numeric Features, on Classification Algorithms’ Performance

Data, 2021
It is recognized that the performance of any prediction model is a function of several factors. One of the most significant factors is the adopted preprocessing techniques.
Esra’a Alshdaifat, Doa’a Alshdaifat, Ayoub Alsarhan, Fairouz Hussein, Subhieh Moh’d Faraj S. El-Salhi   +4 more
doaj   +1 more source

Performance reproducibility index for classification [PDF]

Bioinformatics, 2012
Abstract Motivation: A common practice in biomarker discovery is to decide whether a large laboratory experiment should be carried out based on the results of a preliminary study on a small set of specimens. Consideration of the efficacy of this approach motivates the introduction of a probabilistic measure, for whether a classifier ...
Mohammadmahdi R, Yousefi, Edward R, Dougherty   +1 more
openaire   +2 more sources

Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production

Mathematics, 2023
The Industrial Internet of Things (IIoT), which integrates sensors into the manufacturing system, provides new paradigms and technologies to industry.
Minh Hung Ho, Amélie Ponchet Durupt, Hai Canh Vu, Nassim Boudaoud, Arnaud Caracciolo, Sophie Sieg-Zieba, Yun Xu, Patrick Leduc   +7 more
doaj   +1 more source

Metamodelling of Noise to Image Classification Performance

IEEE Access, 2023
Machine Learning (ML) has made its way into a wide variety of advanced applications, where high accuracies can be achieved when these ML models are evaluated in the same context as they were trained and validated on.
Jens De Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx   +4 more
doaj   +1 more source