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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data

Fig. 3

Harvestman is more parsimonious than SHSEL, meaning it selects fewer features than SHSEL without sacrificing model AUC. AUC as a function of feature counts for five year survival (Top) and five year disease free survival (bottom) obtained with logistic regression (left), random forest (middle), and SVM (right). In each, Harvestman is applied to complete knowledge graphs with MI thresholds 0.125, 0.1, 0.075, and 0.05, moving left to right. This figure was generated using Matplotlib version 3.2.1

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BMC Bioinformatics

ISSN: 1471-2105

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