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Figure 1 | BMC Bioinformatics

Figure 1

From: Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data

Figure 1

True and False Positives for the Boost and BoostOffClin methods. Boxplots representing the distribution of the number of True and False Positives over 50 simulated datasets for the Boost and BoostOffClin methods. The number of variables p was equal to 500 and the number of individuals n was equal to 100, 200 or 500. Black boxplots correspond to μ=0.5 and grey ones to μ=2.

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