Skip to main content
Figure 2 | BMC Bioinformatics

Figure 2

From: Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients

Figure 2

Patients representation in the rules of Table 2. Plot of the membership of the 109 patients (x axis) to the rules (y axis) of the classifier in Table 2. The rule identifier and predicted outcome are listed in right side of the plot. Two oriented lines divide the plot. The horizontal line separates the rules classifying good outcome from those classifying poor outcome. The vertical line separates good outcome from poor outcome patients. Each point of the plot indicates the membership of a patient to one rule. The two lines separate the plot in four sections labeled as A, B, C and D. Section A includes all the patients incorrectly classified by a poor outcome rule. Section B includes all the patients correctly classified by a poor outcome rule. Section C includes all the patients correctly classified by a good outcome rule and Section D includes all the patients incorrectly classified by a good outcome rule.

Back to article page