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Table 5 Performance of cross-feature learning

From: Crossfeat: a transformer-based cross-feature learning model for predicting drug side effect frequency

Method

Binary classification

Regression

AUROC

AUPRC

RMSE

MAE

CL1_1

\(0.80\pm 0.01\)

\(0.80\pm 0.01\)

\(0.95\pm 0.25\)

\(0.64\pm 0.03\)

CL1_2

\(0.80\pm 0.01\)

\(0.81\pm 0.02\)

\(0.91\pm 0.14\)

\(0.65\pm 0.03\)

CL2_1

\(0.80\pm 0.00\)

\(0.81\pm 0.02\)

\(0.84\pm 0.01\)

\(0.64\pm 0.01\)

No cross

\(0.80\pm 0.01\)

\(0.80\pm 0.02\)

\(0.94\pm 0.10\)

\(0.67\pm 0.02\)