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Table 3 False classifications (%) with jackknife cross-validation by optimized Classification And Regression Tree (CART) models

From: Optimizing the diagnostic power with gastric emptying scintigraphy at multiple time points

Type of Misdiagnosis 1-h 2-h 3-h 4-h 2-h + 4-h 3-h + 4-h 4-h + 3-h + 2-h + 1-h + Age
76 (61.8%) 28 (22.8%) 29 (23.6%) 28 (22.8%) 28 (22.8%) 28 (22.8%) 26 (21.1%)
24 (12.2%) 69 (35.0%) 44 (22.3%) 18 (9.1%) 18 (9.1%) 18 (9.1%) 18 (9.1%)
Total Misdiagnosis 100 (31.3%) 97 (30.3%) 73 (22.8%) 46 (14.4%) 46 (14.4%) 46 (14.4%) 44 (13.8%)
AUC For Optimized Model 0.724 0.753 0.825 0.867 0.865 0.858 0.881
  1. Note: : model predicted disease status (1 for yes, 0 for no);
  2. y: diagnosed disease status (1 for yes, 0 for no).