Skip to main content
Figure 1 | BMC Bioinformatics

Figure 1

From: An improved machine learning protocol for the identification of correct Sequest search results

Figure 1

Graphical representation of the alternating decision tree learned from dataset. Prediction nodes are represented by ellipses and splitter nodes by rectangles. Each splitter node is associated with a real valued number indicating the rule condition, meaning: If the feature represented by the node is less than or equal to the condition value the prediction path will go through the left child node, otherwise the path will go through the right child node. The numbers behind the feature names in the prediction nodes indicate the order in which the different base rules were discovered, this ordering can to some extend indicate the relative importance of the base rules. A detailed explanation on how to interpret the ADTree is given in the main text along with a discussion of the colored paths outlined.

Back to article page