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Figure 2 | BMC Bioinformatics

Figure 2

From: Class prediction for high-dimensional class-imbalanced data

Figure 2

Effect of variable selection under the null hypothesis. The figure shows the Class 1 predictive accuracy (PA1) obtained varying the proportion of samples from Class 1 in the training set ( k 1 t r a i n ), using nine classifiers. The training set contained 80 samples, and p = 40, 1000 or 10000 variables were generated from the same distribution for both classes (N(0, 1)); 40 variables were selected (G = 40). The test set was balanced ( k 1 t e s t = 0.5) and contained 20 samples. The PA were evaluated on the test set. Samples were mean centered. Details on data generation are reported in the Methods section.

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