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3-class classification on Frustration detection dataset (test)

44.1Accuracy

CNN–LSTM

Updated 1mo ago

Evaluation Results

Method	Links
CNN–LSTM 2026.05		44.1	45.5	44.1	43
Random Forest 2026.05		42.9	46.6	42.9	43
1D CNN 2026.05		42.7	40.4	42.7	39.1
SVM RBF 2026.05		42.3	41.7	42.3	41.1
LSTM 2026.05		42.3	42.3	42.3	40.6
Gradient Boosting 2026.05		42.2	42.8	42.2	41.5
2D CNN 2026.05		41.9	40.6	41.9	39.3
MLP 2026.05		40.6	41.1	40.6	38.8
KNN 2026.05		40.2	39.5	40.2	37.7
Decision Tree 2026.05		36.4	35.4	36.4	34.9