Fig. 5
From: Large-scale ligand-based predictive modelling using support vector machines
Learning curves and model creation time for the logD dataset. The plot shows learning curves (in black) overlaid with curves for model creation times (in red) for varying dataset sizes and the two SVM implementations. Plotted are measured values with lines drawn between the medians. πSVM was run on 64 cores on the cluster and LIBLINEAR was run using one such core. LIBLINEAR was much faster and gave similar performance in RMSD for the same training set sizes as πSVM