Results 211 to 220 of about 97,372 (256)
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A Bayesian interpretation of the confusion matrix

Annals of Mathematics and Artificial Intelligence, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Olivier Caelen, Caelen Olivier
exaly   +2 more sources

Confusion Matrix-Based Building of Hierarchical Classification

Lecture Notes in Computer Science, 2019
Present an evaluation of methods for automatically building hierarchical classifiers from the analysis on the confusion matrix generated with flat classification. By defining a basic framework for that, we investigate the effects of different methods for transforming the confusion matrix, for computing the similarity between classes, and the choice of ...
Paulo R. Cavalin, Luiz S. Oliveira
exaly   +2 more sources

Confusion Matrix Analysis for NPS

24th Pan-Hellenic Conference on Informatics, 2020
Net Promoter Score (NPS) is a widely used Customer Experience Metric which when analyzed against specific attributes of experience (e.g., satisfaction associated with call center, website, etc.) leads to a classification problem with an 11×11 confusion matrix. The categorization of customers according to NPS methodology and the calculation of NPS index
Ioannis Markoulidakis   +5 more
openaire   +1 more source

Phaged and confused by biofilm matrix

Nature Microbiology, 2017
Bacterial biofilms fabricate an extracellular amyloid fibre network that intimately links cells together and inhibits the ability of bacteriophages to penetrate the biofilm.
Janet E, Price, Matthew R, Chapman
openaire   +2 more sources

Confusion Matrix Analysis for Form Perception

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1967
The Constant-Ratio Rule (CRR), an empirical technique for analysis of confusion matrices, was developed for use in predicting intelligibility of speech syllables. This study investigated the validity of the rule when applied to the data from experiments on visual form perception.
R D, Engstrand, G, Moeller
openaire   +2 more sources

Complete Control of an Observed Confusion Matrix

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The error matrix has been adopted as a standard way to report on the thematic accuracy of any remotely sensed data product. A very usual way to perform the thematic accuracy analysis of an error matrix is by means of global indexes (e.g. overall accuracy, Kappa coefficient). But global indices do not allow for a category-wise control.
Francisco Javier Ariza-López   +2 more
openaire   +1 more source

Confusion Matrix Visualization

2004
Using the technique of multidimensional scaling the paper demonstrates a method of visualizing a configuration of classes as it is perceived by a classifier. The methodology serves to assist the analysis of multi-class classification problems, where the final result of averaged accuracy or averaged error is not sufficient.
openaire   +1 more source

Discountings of a Belief Function Using a Confusion Matrix

2010 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
In this paper, we present an analysis of different approaches relative to the correction of belief functions based on the results given by a confusion matrix. Three different mechanisms based on discountings are detailed. These methods have the objective to assess the discounting rates to be assigned to a source of information.
Zied Elouedi   +2 more
openaire   +1 more source

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