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. Author manuscript; available in PMC: 2018 Dec 11.
Published in final edited form as: Smart Health (Amst). 2018 Jul 7;9-10:88–100. doi: 10.1016/j.smhl.2018.07.007

Figure 5.

Figure 5

Experimental results, with kernels learned using All similarity measures ( SKID3), random-walk reachability (RW), SMILES string similarity (SS), molecular feature similarity (FS), molecular fingerprint similarity (FP) and MACCS fingerprint similarity (MACCS). (a)–(d) Classification performance of each kernel on a hold-out test set as the size of the training set increases; (e) Weights of each individual kernel in All, as training set size increases; (f) Training time for learning the combined kernel ( SKID3) that fuses all the similarity measures, as training set size increases.