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Emotion Prediction Regression on Long-Term Naturalistic Emotion (LTNE) Dataset Dominance

0.2045MSEEEGDancer
0.198520.2388850.279250.319615Jun 4, 2026

Evaluation results

MethodLinks
EEGDancerCategory=Deep Learning Method, Protocol=Cross-Subject2026.060.20450.31070.5794
DDC*Category=Deep Learning Method, Protocol=Cross-Subject2026.060.25310.39270.4652
BiDANN*Category=Deep Learning Method, Protocol=Cross-Subject2026.060.280.4210.4954
GradientBoostingRegressor*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.29020.44340.3523
Random Forest*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.2940.44460.3892
DANN*Category=Deep Learning Method, Protocol=Cross-Subject2026.060.2950.44440.4751
DCORAL*Category=Deep Learning Method, Protocol=Cross-Subject2026.060.29540.44510.4893
Lasso*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.29550.44620.3355
DAN*Category=Deep Learning Method, Protocol=Cross-Subject2026.060.2990.44810.4724
Ridge*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.30020.44830.4
Beysian Ridge*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.30030.44840.3996
EEGNet*Category=Deep Learning Method, Protocol=Cross-Subject2026.060.30030.44840.3996
HuberRegressor*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.30350.44930.336
Decision Tree*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.31450.45750.3364
MLP*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.31480.45750.3997
RGNN*Category=Deep Learning Method, Protocol=Cross-Subject2026.060.33670.49960.4931
KNN*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.33920.47410.3939
SVR*Category=Traditional Machine Learning, Protocol=Cross-Subject2026.060.3540.48460.3892