Papers matching “prediction model performance” 389
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Assessing the Generalizability of a Performance Predictive Model2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, +3 more
0citations -
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korošec, Tome Eftimov
1citations -
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
3citations -
Can we trust the prediction model? Demonstrating the importance of external validation by investigating the COVID-19 Vulnerability (C-19) Index across an international network of observational healthcare datasets
Jenna Reps, Chungsoo Kim, Ross D. Williams, Aniek F. Markus, Cynthia Barcelon Yang, Talita Duarte Salles, +29 more
7citations -
Grey and white matter metrics demonstrate distinct and complementary prediction of differences in cognitive performance in children: Findings from ABCD (N= 11 876)5citations
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Empirical Evidence That There Is No Such Thing As A Validated Prediction Model2024 arXiv (Cornell University) preprint Mathematics Statistical Methods in Epidemiology Open access
Florian D. van Leeuwen, Ewout Willem Steyerberg, David V. Klaveren, Ben Wessler, David M. Kent, Erik W. van Zwet
1citations -
PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~200,000 patients2022 Research Square preprint Biochemistry, Genetics and Molecular Biology BRCA gene mutations in cancer Open access
Daniele Giardiello, Maartje J. Hooning, Michael Hauptmann, Renske Keeman, Bernadette A. M. Heemskerk‐Gerritsen, CARL P. BLOMQVIST, +32 more
1citations -
Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey2024 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Priyanka Gawade, Anupreeta More, Surhud More, Akisato Kimura, Alessandro Sonnenfeld, Masamune Oguri, +1 more
0citations