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Fig. 1 | BMC Pharmacology and Toxicology

Fig. 1

From: eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates

Fig. 1

Schematics of various machine learning classifiers. (a) A two-layered Boltzmann Machine with 3 hidden nodes h and 2 visible nodes v. Nodes are fully connected. (b) A Restricted Boltzmann Machine (RBM) with the same nodes as in A. Nodes belonging to the same layer are not connected. (c) A Deep Belief Network with a visible layer V and 3 hidden layers H. Individual layers correspond to RBMs that are stacked against one another. (d) A Random Forest with 3 trees T. For a given instance, each tree predicts a class based on a subset of the input set. The final class assignment is obtained by the majority voting of individual trees

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