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Table 2 Specificity for the most competitive classifiers and imputation combinations and CF

From: A comparative study: classification vs. user-based collaborative filtering for clinical prediction

Dataset (% missing) RF-MI RF-MICE LR-MI LR-MICE CF
NHANES (baseline=3%) 0.99 0.98 0.98 0.99 0.88
NHANES (10%) 0.97 0.96 0.99 0.99 0.88
SUPPORT (baseline = 16%) 0.98 0.98 0.99 0.98 0.91
Kidney (baseline = 10%) 0.99 0.99 0.94 0.99 0.85
NHANES (20%) 0.97 0.96 0.96 0.98 0.88
SUPPORT (20%) 0.97 0.96 0.97 0.97 0.85
Kidney (20%) 0.97 0.94 0.96 0.98 0.84
NHANES (30%) 0.93 0.93 0.94 0.96 0.83
SUPPORT (30%) 0.95 0.96 0.96 0.95 0.83
Kidney (30%) 0.98 0.98 0.95 0.97 0.82