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          <dc:title>&lt;p&gt;Classification accuracy, F1-score, and AUC results for all feature sets and classifiers (mean± standard deviation over 10 runs).&lt;/p&gt;</dc:title>
          <dc:creator>Morteza Jafari Malali (25316858)</dc:creator>
          <dc:creator>Sepideh Zolfaghari (25316861)</dc:creator>
          <dc:creator>Raheleh Davoodi (25316864)</dc:creator>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Mathematical Sciences not elsewhere classified</dc:subject>
          <dc:subject>variants &amp;# 8212</dc:subject>
          <dc:subject>unlike conventional measures</dc:subject>
          <dc:subject>often lack sensitivity</dc:subject>
          <dc:subject>neural information flow</dc:subject>
          <dc:subject>first systematic evaluation</dc:subject>
          <dc:subject>evoking game scenarios</dc:subject>
          <dc:subject>includes eeg recordings</dc:subject>
          <dc:subject>brain &amp;# 8217</dc:subject>
          <dc:subject>strong discriminative power</dc:subject>
          <dc:subject>human emotional states</dc:subject>
          <dc:subject>eoe &amp;# 8211</dc:subject>
          <dc:subject>phase ), aiming</dc:subject>
          <dc:subject>eeg phase series</dc:subject>
          <dc:subject>based features reached</dc:subject>
          <dc:subject>eeg phase signals</dc:subject>
          <dc:subject>emotional states</dc:subject>
          <dc:subject>eeg signals</dc:subject>
          <dc:subject>calm ),</dc:subject>
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          <dc:subject>brain complexity</dc:subject>
          <dc:subject>based features</dc:subject>
          <dc:subject>transient dynamics</dc:subject>
          <dc:subject>traditional shannon</dc:subject>
          <dc:subject>study provides</dc:subject>
          <dc:subject>study introduces</dc:subject>
          <dc:subject>signal complexity</dc:subject>
          <dc:subject>rf classifier</dc:subject>
          <dc:subject>results demonstrate</dc:subject>
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          <dc:subject>random forest</dc:subject>
          <dc:subject>order variability</dc:subject>
          <dc:subject>novel application</dc:subject>
          <dc:subject>nonstationary nature</dc:subject>
          <dc:subject>multiscale irregularities</dc:subject>
          <dc:subject>mixed phaseen</dc:subject>
          <dc:subject>invasive insight</dc:subject>
          <dc:subject>including adaboost</dc:subject>
          <dc:subject>gameemo dataset</dc:subject>
          <dc:subject>gained prominence</dc:subject>
          <dc:subject>four emotion</dc:subject>
          <dc:subject>emotion recognition</dc:subject>
          <dc:subject>electrical activity</dc:subject>
          <dc:subject>dynamic representation</dc:subject>
          <dc:subject>central task</dc:subject>
          <dc:subject>capturing second</dc:subject>
          <dc:subject>affective computing</dc:subject>
          <dc:subject>28 participants</dc:subject>
          <dc:description>&lt;p&gt;Classification accuracy, F1-score, and AUC results for all feature sets and classifiers (mean± standard deviation over 10 runs).&lt;/p&gt;</dc:description>
          <dc:date>2026-10-05T17:30:11Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0329598.t001</dc:identifier>
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