Table 6. Performance of top 5 binary classification models of all fish for the external validation set.
Model a | AUC | CA | SP | SE |
Maccs_ANN | 0.89 | 0.83 | 0.83 | 0.82 |
Est_SVM | 0.88 | 0.82 | 0.86 | 0.80 |
Maccs_SVM | 0.85 | 0.82 | 0.89 | 0.78 |
KR_SVM | 0.85 | 0.80 | 0.86 | 0.77 |
Pub_SVM | 0.83 | 0.81 | 0.87 | 0.76 |
aAP2D: AP2D fingerprint, Est: estate fingerprint, Ext: extended fingerprint, FP: fingerprint, Graph: graphonly fingerprint, KR: Klekota-Roth fingerprint, Maccs: MACCS fingerprint, Pub: PubChem fingerprint, Sub: substructure fingerprint; ANN: artificial neural network, CT: classification tree, kNN: k-nearest neighbor, NB: naïve bayes, RF: random forest, SVM: support vector machine.