Classification on Heart Disease Dataset II (test) benchmark leaderboard · SOTA2 Research

Classification on Heart Disease Dataset II (test)

97.1AccuracyHyCARD-Net (CNN–LSTM + KNN + XGB)

Evaluation Results

Method	Links
HyCARD-Net (CNN–LSTM + KNN + XGB)2026.01		97.1	95.5	95.2	96.8
RF + DT + NB + LR2026.01		94.5	92.1	93.1	92.9
CNN–LSTM2026.01		94.45	94.7	94.9	94.7
KNN2026.01		94.35	94.5	94.8	94.6
RF + DT + KNN + NB + SVM + LGBM + XGB + MLP + LR2026.01		94.3	93.5	93.2	93.4
XGB2026.01		94.1	94	93.8	94
CNN2026.01		93.8	93.6	93.7	93.5
MLP2026.01		93.5	93.6	93.4	93.7
LGBM2026.01		92.8	93.7	93.5	93.2
RF2026.01		91.9	92.1	92.3	92.4
DT2026.01		91.75	92.6	92.4	92.7
LR2026.01		91.7	91.8	91.6	92.1
AdaBoost2026.01		91.5	92.7	92.4	92.8
LSTM2026.01		91.5	92.6	92.8	92.7
SVM2026.01		90.8	91.5	91.4	91.7
NB2026.01		90.5	90.2	91	91.4