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Figure 2 | BMC Bioinformatics

Figure 2

From: Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction

Figure 2

Comparison of TSP, Fisher and RFE as feature selection methods for KNN as correlation varies among signal genes. The error rates of KNN (mean ± SE) on the test set of Data-I, as within-block correlation (ρ) varies. The x-axis is the number of top ranked gene pairs for TSP, or half the number of top ranked genes for Fisher and RFE. The horizontal lines are the error rates of KNN using all features.

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BMC Bioinformatics

ISSN: 1471-2105

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