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Beilstein J. Nanotechnol. 2021, 12, 1297–1325, doi:10.3762/bjnano.12.97
Figure 1: The laboratory method used to obtain the raw counts data for the lethal and sub-lethal endpoints ev...
Figure 2: The transformation of the raw biological counts data, illustrated here for excess lethality at 120 ...
Figure 3: A summary of all modelling work carried out using the model development dataset reported herein. A ...
Figure 4: Data augmentation using the “noised training set replication” paradigm. Top: a subset of the availa...
Figure 5: Data augmentation using the “weighted alternative samples” paradigm, where the alternative samples ...
Figure 6: Data augmentation using the “weighted alternative samples” paradigm, where the alternative samples ...
Figure 7: Nested cross-validated balanced accuracy (BA) obtained with multiple descriptor Random Forest model...
Figure 8: Nested cross-validated balanced accuracy (BA) obtained with multiple descriptor Random Forest model...
Figure 9: The change in cross-validated balanced accuracy (BA), with results shown for individual folds, obta...
Figure 10: Variable importance estimates for the five most important variables (highest mean importance values...
Figure 11: Distributions of conditional variable importance estimates for the five most important variables (h...