Results 261 to 270 of about 106,821 (289)
Some of the next articles are maybe not open access.
An alternative confusion matrix implementation for PreCall
2020In this work, we examine literature on creating visualizations for the performance of machine learning classifiers, with our target group being users with limited machine learning experience. The underlying data is taken from Wikipedia, and more specifically ORES - Wikimedia’s service, which employs a machine learning model to score edits and articles.
openaire +1 more source
Formulation of the kernel logistic regression based on the confusion matrix
2015 IEEE Congress on Evolutionary Computation (CEC), 2015Imbalanced data classification, which is a common and important problem in various fields related to the detection of anomaly, failure, and risk, has been studied intensively. Conventional methods are based on sampling, misclassification costs, or ensemble of classifiers, and many of them are heuristic and task dependent.
Miho Ohsaki +4 more
openaire +1 more source
Proper comparison among methods using a confusion matrix
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015An important aspect of research in the remote sensing field is to objectively compare different classifiers. This is the foundation of hundreds of research projects and in this paper we will address some raising concerns when evaluating solutions for classification of data sets with skewed class distributions.
Brian P. Salmon +3 more
openaire +1 more source
Confusion plot for the confusion matrix
Journal of the Korean Data And Information Science Society, 2021openaire +1 more source
Analysis and Presentation of Confusion-Matrix Data
The Journal of the Acoustical Society of America, 1965As part of the work on an automatic speech recognizer, an approach has been developed to the analysis and presentation of results from confusion tests on potential vocabularies. The method depends on taking the null hypothesis that, if errors occur in a series of responses to a stimulus word.
openaire +1 more source
Rank and response combination from confusion matrix data
Information Fusion, 2001Abstract The use of prior behavior of a classifier, as measured by the confusion matrix, can yield useful information for merging multiple classifiers. In particular, response vectors can be estimated and a ranking of possible classes can be produced which can allow Borda type reconciliation methods to be applied.
openaire +1 more source
Amended agreement chart for the confusion matrix
Journal of the Korean Data And Information Science Society, 2022Chong-Sun Hong, Ye-Won Choi
openaire +1 more source