Figure 6
From: Support Vector Machine Implementations for Classification & Clustering
The Percentage Data Rejection vs SN+SP curves are shown for test data classification runs with a binary classifier with one molecule (the positive, given by label) versus the rest (the negative). Since the signal calling wasn't passed through a Decision Tree, it doesn't accurately reflect total throughput, and they don't benefit from the "shielding" shown in the Decision Tree in Fig. 1 prototype. The Relative Entropy Kernel is shown because it provided the best results (over Gaussian and Absdiff).