Figure 11.

Trade-off dilemma of performance versus stability. Different scenarios are shown for the performance of a classifier versus its stability. Scenario 1: Stable yet poor performance, always achievable by a decision rule that assigns all samples to the same class; Scenario 2: Preferred scenario; Scenario 3: Random classifier; Scenario 4: Unrealistic perturbations, likely to happen when using jitter.

Sontrop et al. BMC Bioinformatics 2009 10:389   doi:10.1186/1471-2105-10-389
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