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Table 5 Results of the Buchwald-Hartwig dataset under reactant-based out-of-sample conditions

From: Prediction of chemical reaction yields with large-scale multi-view pre-training

Split type

Measure

YieldBERT

YieldBERT-DA

UA-GNN

ReaMVP

Halide Br

MAE

\(7.882\pm 0.311\)

\(8.431\pm 0.415\)

\(7.336\pm 0.824\)

\(\mathbf {7.118\pm 0.873}\)

 

RMSE

\(11.180\pm 0.379\)

\(12.457\pm 0.508\)

\(10.185\pm 1.334\)

\(\mathbf {10.034\pm 1.126}\)

 

R\(^2\)

\(0.803\pm 0.013\)

\(0.756\pm 0.020\)

\(0.834\pm 0.044\)

\(\mathbf {0.840\pm 0.037}\)

Halide Cl

MAE

\(18.727\pm 2.130\)

\(17.769\pm 0.735\)

\(26.822\pm 1.243\)

\(21.664\pm 1.588\)

 

RMSE

\(25.184\pm 2.781\)

\(21.253\pm 0.571\)

\(33.169\pm 0.783\)

\(25.881\pm 0.936\)

 

R\(^2\)

\(-0.434\pm 0.316\)

\(-0.010\pm 0.054\)

\(-1.459\pm 0.117\)

\(-0.498\pm 0.107\)

Halide I

MAE

\(10.359\pm 0.422\)

\(9.201\pm 0.419\)

\(15.950\pm 2.924\)

\(\mathbf {8.877\pm 0.254}\)

 

RMSE

\(14.388\pm 0.398\)

\(\mathbf {12.419\pm 0.631}\)

\(20.793\pm 3.359\)

\(13.084\pm 0.314\)

 

R\(^2\)

\(0.676\pm 0.018\)

\(\mathbf {0.758\pm 0.025}\)

\(0.307\pm 0.225\)

\(0.732\pm 0.013\)

Pyridyl

MAE

\(17.443\pm 1.009\)

\(18.406\pm 0.480\)

\(\mathbf {16.946\pm 0.214}\)

\(17.172\pm 0.833\)

 

RMSE

\(23.904\pm 1.126\)

\(26.300\pm 0.328\)

\(24.819\pm 0.632\)

\(\mathbf {21.401\pm 1.147}\)

 

R\(^2\)

\(0.350\pm 0.060\)

\(0.215\pm 0.020\)

\(0.301\pm 0.035\)

\(\mathbf {0.479\pm 0.056}\)

Nonpyridyl

MAE

\(\mathbf {14.143\pm 0.684}\)

\(15.043\pm 0.351\)

\(18.802\pm 1.216\)

\(17.259\pm 1.320\)

 

RMSE

\(19.075\pm 0.751\)

\(\mathbf {18.580\pm 0.244}\)

\(23.610\pm 2.059\)

\(21.171\pm 1.141\)

 

R\(^2\)

\(0.308\pm 0.055\)

\(\mathbf {0.344\pm 0.017}\)

\(-0.067\pm 0.188\)

\(0.146\pm 0.090\)

  1. Bold entries highlight the best performance