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. Author manuscript; available in PMC: 2024 Feb 1.
Published in final edited form as: Comput Biol Med. 2022 Dec 23;153:106479. doi: 10.1016/j.compbiomed.2022.106479

Table 5.

Comparison of our models’ performance on the five data sets with 90% labeled data with other models’ performance. Our four models are AE-MBO (autoencoder with MBO), BT-MBO (transformer with MBO), ECFP-MBO (extended-connectivity fingerprints with MBO), and Consensus-MBO, a model generating the consensus from our top two scoring methods for a given data set and percent of labeled data (more details in Section 2.6). Performance of our models is given as average ROC-AUC score over 10 labeled sets with standard deviation, and Consensus-MBO performance is given as the average over 10 trials with standard deviation.

ROC-AUC Scores for 90% Labeled Data
Model Ames Bace BBBP Beet ClinTox
BT-MBO (Proposed) 0.801 ± .013 0.839 ± .02 0.902 ± .034 0.831 ± .067 0.948 ± .048
AE-MBO (Proposed) 0.737 ± .017 0.818 ± .037 0.886 ± .029 0.785 ± .079 0.807 ± .085
ECFP-MBO (Proposed) 0.787 ± .019 0.855 ± .026 0.858 ± .041 0.842 ± .051 0.634 ± .060
Consensus-MBO (Proposed) 0.788 ± .015 0.833 ± .030 0.876 ± .030 0.750 ± .080 0.819 ± .015
SSLP-FPs(C) [5] 0.87 ± .022 0.872 ± .036 0.949 ± .016 0.797 ± .079 0.963 ± .044
SSLP-FPs(CP) [5] 0.861 ± .025 0.869 ± .029 0.953 ± .009 0.818 ± .075 0.939 ± .047
SSLP-FPs(CPZ) [5] 0.856 ± .023 0.868 ± .033 0.946 ± .015 0.827 ± .061 0.941 ± .035
Auto-FPs [5, 59] 0.887 ± .018 0.903 ± .022 0.969 ± .01 0.838 ± .059 0.95 ± .037
ECFP2_512 [5, 48] 0.867 ± .016 0.904 ± .024 0.913 ± .019 0.83 ± .06 0.831 ± .056
ECFP2_1024 [5, 48] 0.868 ± .016 0.905 ± .022 0.92 ± .015 0.839 ± .058 0.821 ± .058
ECFP2_2048 [5, 48] 0.869 ± .02 0.906 ± .024 0.919 ± .021 0.833 ± .063 0.833 ± .053
ECFP4_512 [5, 48] 0.865 ± .013 0.896 ± .023 0.908 ± .025 0.824 ± .061 0.801 ± .049
ECFP4_1024 [5, 48] 0.867 ± .016 0.901 ± .024 0.914 ± .024 0.833 ± .058 0.782 ± .052
ECFP4_2048 [5, 48] 0.872 ± .017 0.907 ± .023 0.916 ± .021 0.828 ± .066 0.784 ± .053
ECFP6_512 [5, 48] 0.861 ± .013 0.889 ± .026 0.9 ± .032 0.848 ± .062 0.77 ± .048
ECFP6_1024 [5, 48] 0.862 ± .013 0.893 ± .026 0.907 ± .029 0.833 ± .059 0.77 ± .054
ECFP6_2048 [5, 48] 0.864 ± .014 0.899 ± .024 0.911 ± .026 0.828 ± .063 0.75 ± .059