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Figure 3 | BMC Bioinformatics

Figure 3

From: Support Vector Machine Implementations for Classification & Clustering

Figure 3

Comparative results are shown on performance of Kernels and algorithmic variants. The classification is between two DNA hairpins (in terms of features from the blockade signals they produce when occluding ion flow through a nanometer-scale channel). Implementations: WH SMO (W); Platt SMO (P); Keerthi1 (1); and Keerthi2 (2). Kernels: Absdiff (a); Entropic (e); and Gaussian (g). The best algorithm/kernel on this and other channel blockade data studied has consistently been the WH SMO variant and the Absdiff and Entropic Kernels. Another benefit of the WH SMO variant is its significant speedup over the other methods (about half the time of Platt SMO and one fourth the time of Keerthi 1 or 2).

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