Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Matthijs J. Warrens"'
Publikováno v:
IEEE Access, Vol 9, Pp 78368-78381 (2021)
Even if measuring the outcome of binary classifications is a pivotal task in machine learning and statistics, no consensus has been reached yet about which statistical rate to employ to this end. In the last century, the computer science and statisti
Externí odkaz:
https://doaj.org/article/91ef0226db1248cf90447c75247d23bc
Publikováno v:
PeerJ Computer Science, Vol 7, p e623 (2021)
Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables. The difference between binary classification and regression is in the
Externí odkaz:
https://doaj.org/article/1ba8d51ba4ae44c89e5b4495000d4eec
Autor:
Matthijs J. Warrens
Publikováno v:
Journal of Probability and Statistics, Vol 2015 (2015)
This paper studies correction for chance for association measures for continuous variables. The set of linear transformations of Pearson’s product-moment correlation is used as the domain of the correction for chance function. Examples of measures
Externí odkaz:
https://doaj.org/article/ce4deab58e814376909c3db8014e2c51
Publikováno v:
Journal of Mathematics, Vol 2015 (2015)
It is shown for coefficient matrices of Russell-Rao coefficients and two asymmetric Dice coefficients that ordinal information on a latent variable model can be obtained from the eigenvector corresponding to the largest eigenvalue.
Externí odkaz:
https://doaj.org/article/f4227d49cdd54f3aadc1bef882b29a3e
Autor:
Matthijs J. Warrens
Publikováno v:
Journal of Mathematics, Vol 2014 (2014)
A weighted version of Bennett, Alpert, and Goldstein’s S, denoted by Sr, is studied. It is shown that the special cases of Sr are often ordered in the same way. It is also shown that many special cases of Sr tend to produce values close to unity, e
Externí odkaz:
https://doaj.org/article/b729adcd429e41ff80165670497e14d2
Autor:
Matthijs J. Warrens
Publikováno v:
Journal of Mathematics, Vol 2014 (2014)
Cohen’s kappa is a widely used association coefficient for summarizing interrater agreement on a nominal scale. Kappa reduces the ratings of the two observers to a single number. With three or more categories it is more informative to summarize the
Externí odkaz:
https://doaj.org/article/c269f96e68f643a0866e3ee13a5fae84
Autor:
Matthijs J. Warrens
Publikováno v:
Journal of Probability and Statistics, Vol 2013 (2013)
Weighted kappa is a widely used statistic for summarizing inter-rater agreement on a categorical scale. For rating scales with three categories, there are seven versions of weighted kappa. It is shown analytically how these weighted kappas are relate
Externí odkaz:
https://doaj.org/article/559c49a8169448b0a623a5b4b93e6d8b
Publikováno v:
British Journal of Guidance & Counselling. :1-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285de5f9bf55b974521f3c5cd9108bc5
https://doi.org/10.1080/03069885.2022.2068504
https://doi.org/10.1080/03069885.2022.2068504
Publikováno v:
IEEE Access, 9:9440903, 78368-78381. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Even if measuring the outcome of binary classifications is a pivotal task in machine learning and statistics, no consensus has been reached yet about which statistical rate to employ to this end. In the last century, the computer science and statisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98572f22502b25354fedfab750a0a88f
https://research.rug.nl/en/publications/631eebc1-7560-4645-82b9-54d9bf3d023b
https://research.rug.nl/en/publications/631eebc1-7560-4645-82b9-54d9bf3d023b
Publikováno v:
Communications in Statistics Case Studies Data Analysis and Applications, 7(3), 359-381
The aim of this study was to identify school motivation profiles of Dutch 9th grade students in a four-dimensional motivation space, including mastery, performance, social and extrinsic motivation. Multiple clustering methods (K-means, K-medoids, res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::666625781a66ee523a2101bf9c474c18
https://doi.org/10.1080/23737484.2021.1911719
https://doi.org/10.1080/23737484.2021.1911719