True values for performance measures for the five classifiers averaged over 500 runs under the true scenario for and .

True values for performance measures for the five classifiers averaged over 500 runs under the true scenario for and .

<p>True values for performance measures for the five classifiers averaged over 500 runs under the true scenario for and .</p>

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Bibliographic Details
Main Author: Marieke Stolte (18563441) (author)
Other Authors: Nicholas Schreck (5003018) (author), Alla Slynko (6053090) (author), Maral Saadati (9098190) (author), Axel Benner (30194) (author), Jörg Rahnenführer (3861) (author), Andrea Bommert (18563444) (author)
Published: 2025
Subjects:
Medicine
Genetics
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
realistic dgps might
mind whose true
comparing statistical methods
true method ranking
comparing classification methods
binary classification methods
different resampling strategies
appropriate method choice
term simulation refers
specify typically increases
specific data type
estimating classifier performance
method comparison study
plasmode comparison studies
plasmode simulation depends
parametric comparison studies
ogm negatively influence
comparison studies
method rankings
classification performances
studies conducted
simulation study
best choice
plasmode simulation
study finds
resampling strategy
resampling covariates
plasmode simulations
parametric simulation
unknown data
specified ogm
random numbers
practice leading
oversimplified assumptions
often claimed
life dataset
known within
interest together
generating process
generating model
generating mechanism
full data
dimensional data
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Summary:<p>True values for performance measures for the five classifiers averaged over 500 runs under the true scenario for and .</p>

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