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Fig. 3 | BMC Bioinformatics

Fig. 3

From: EnsInfer: a simple ensemble approach to network inference outperforms any single method

Fig. 3

The AUPRC improvement of the Naive Bayes ensemble model (restricting inputs to those with positive kurtosis, but including weak learners) compared to the single best base inference method. In the B. subtilis and Arabidopsis datasets the improvement had p-value \(< 0.05\) using a non-parametric paired test [33]. The test should be paired, because the same set of training and testing splits were used for every method. In the human dataset, the ensemble method was about equal to the best base inference method. As noted in the text, the best base method cannot be known a priori, so these comparisons understate the advantage of the ensemble method

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