Significance analysis of different feature groups and classifiers on the Real-Life trials dataset (RL) as reported in [51] and the Rolling-Dice Experiment (RDE).

Significance analysis of different feature groups and classifiers on the Real-Life trials dataset (RL) as reported in [51] and the Rolling-Dice Experiment (RDE).

<p>Significance analysis of different feature groups and classifiers on the Real-Life trials dataset (RL) as reported in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0314806#pone.0314806.ref051" target="_blank">51</a>] and the Rolling-D...

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Bibliographic Details
Main Author: Dmitri Bershadskyy (14684464) (author)
Other Authors: Laslo Dinges (20489170) (author), Marc-André Fiedler (20489173) (author), Ayoub Al-Hamadi (4854019) (author), Nina Ostermaier (20489176) (author), Joachim Weimann (3966815) (author)
Published: 2024
Subjects:
Cancer
Science Policy
Mental Health
Plant Biology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
modified setup guarantees
enabling substantial improvement
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modification regarding monitoring
lie detection algorithm
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original experiment
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technological progress
results indicate
new questions
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methodological contribution
machine learning
lying behavior
level analysis
high relevance
experimental data
certain level
accuracy rate
67 %,
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