Regression on Stroke Dataset (subject-wise cross-validation) benchmark leaderboard · SOTA2 Research

Regression on Stroke Dataset (subject-wise cross-validation)

2.82RMSEES-VAE + k-NN

Evaluation Results

Method	Links
ES-VAE + k-NN2026.05		2.82	74	0.86
Tangent PCA + k-NN2026.05		3.03	70	0.84
LSTM2026.05		3.21	66	0.81
Transformer2026.05		3.23	66	0.81
LSTM2026.05		3.31	64	0.81
Sparse ST-GCN2026.05		3.36	63	0.8
TCN2026.05		3.39	62	0.82
ST-GCN2026.05		3.51	60	0.77
Hyper-GCN2026.05		3.57	58	0.77
VAE + k-NN2026.05		3.71	55	0.76
TCN2026.05		3.82	52	0.79
Sparse ST-GCN2026.05		3.83	52	0.74
Hyper-GCN2026.05		3.86	51	0.74
ST-GCN2026.05		3.88	51	0.72
Transformer2026.05		3.93	50	0.76
PCA + k-NN2026.05		4.13	44	0.76
VAE + k-NN2026.05		4.33	39	0.62
PCA + k-NN2026.05		4.46	35	0.59