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Table 2 Ensemble model

From: Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease

Model

ROC AUCa

Parameters

NNbiosparse

0.758 (0.00689)

25,503

Randomly sparsified (100% genes connected)

0.759 (0.00778)

25,503

Randomly sparsified (75% genes connected)

0.760 (0.00571)

19,708

Ensemble (100% genes connected)

0.774 (0.00276)

25,503

Ensemble (75% genes connected)

0.776 (0.00265)

19,709

  1. aPerformance given as mean (standard deviation) of test set ROC AUC from 10 different full threefold cross-validation runs