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Table 9 Ensemble causal orientation results and comparison with the best performing individual causal orientation methods

From: New methods for separating causes from effects in genomics data

  ECOLI YEAST NOTCH1 RELA
Best individual causal orientation method (AUC) 0.828 0.658 0.926 0.970
Ensemble method (AUC) 0.837 0.822 0.984 0.992
Improvement (AUC) 0.009 0.164 0.058 0.022
Statistical significance of improvement (p-value) 0.3407 <0.0001 0.0062 <0.0001
  1. Bold p-values indicate a statistically significant performance improvement by using an ensemble causal orientation. The p-values were obtained from Delong's test for AUC comparison [45].