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Table 2 Accuracies (across 450 simulation repetitions) of the random forest classifier in step one of MAI

From: Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics

  Total % missing 49.5% imposed MCAR 60% imposed MCAR 80% imposed MCAR 90% imposed MCAR
Mean accuracy [95% CI] 10% 98% [97%, 98%] 96% [96%, 97%] 93% [92%, 94%] 92% [91%, 93%]
30% 92% [91%, 93%] 88% [87%, 89%] 82% [80%, 84%] 90% [88%, 91%]
Median accuracy [95% CI] 10% 98% [97%, 98%] 97% [96%, 97%] 93% [92%, 94%] 92% [91%, 93%]
30% 92% [91%, 93%] 88% [87%, 89%] 82% [80%, 84%] 90% [88%, 92%]
  1. Mean (two top rows) and median accuracies (two bottom rows) are reported for different levels of total percent missing and percent imposed MCAR missingness on the COPDGene Data Set 1; p = 300 and n = 100