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. 2006 Dec 22;2(12):e169. doi: 10.1371/journal.pcbi.0020169

Figure 2. Confusion Array Display for the aobANN versus Membership in EM MoDG Expression Class.

Figure 2

Expression class predictions from the aobANN (based on ChIPchip factor binding data) are displayed in a confusion array against the starting expression classes from EMDoG clustering. Each of the 40 contributing “best” ANNs were trained on 80% of the data and tested on the remaining 20% to evaluate performance. They were selected as the best performing network out ten networks trained on the same data split, but initialized with differing random seeds. These two classifications have a similarity of .86 by linear assignment [9]: an LA value of 1.0 would indicate perfect classification success by the ANNs.