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Fig. 2 | Journal of Cheminformatics

Fig. 2

From: ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling

Fig. 2

Diversity distribution of the training set (n = 4938) and external test set (n = 2376). a, b Chemical space defined by PCA factorization; c chemical space defined by molecular weight (MW) as X-axis and SlogP as Y-axis; d comparison of toxicity value distribution in different data sets. Gray circle stands for the training set, and black rhombus stands for the test set

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