Classification on letRecog (F1 Macro) benchmark leaderboard · SOTA2 Research

Classification on letRecog (F1 Macro)

0.9659F1 MacroRF

Evaluation Results

Method	Links
RF2021.09		0.9659
LightGBM2021.09		0.9651
XGBoost2021.09		0.9638
RRL2021.09		0.9615
SVM2021.09		0.9557
PLNN(MLP)2021.09		0.9234
C4.52021.09		0.882
CART2021.09		0.8762
CRS2021.09		0.8496
LR2021.09		0.7205
SBRL2021.09		0.6432
CORELS2021.09		0.6113