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Figure 5 | BMC Bioinformatics

Figure 5

From: Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers

Figure 5

Learning curve estimation of N disc . Cohorts with sample sizes ranging from 2 × 7 - 2 × 65 (given on the x-axis) were arbitrarily generated out of the entire 2 × 67 dataset. 20 repetitions were performed for each size cohort. An SVM-based classifier was built for each dataset and its performance was tested on the independent test set. In the left panel the area above the curve AAC (AAC = 1-AUC) for each classifier is shown. The misclassification error rate MER is shown on the right. The red curves represent the mean AAC and mean MER. The inverse power law behaviour is obvious.

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