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. 2020 Mar;8(5):226. doi: 10.21037/atm.2020.01.08

Table 5. Comparison of performance for logistic regression and random forest of validation set in men aged over 50-year-old and postmenopausal women.

Characteristics Risk factors for osteopenia Risk factors for osteoporosis
LG1 RF1 LG2 RF2
Lumbar spine
   Patients with osteopenia (N=179)
   No. of true positive/false negative 133/3 131/5
   No. of true negative/false positive 1/42 3/40
   Patients with osteoporosis (N=299)
   No. of true positive/false negative 130/27 116/41
   No. of true negative/false positive 28/114 55/87
   Sensitivity, % 97.8 96.3 82.8 73.9
   Specificity, % 2.3 7.0 19.7 38.7
   OOB error estimate, % 29.2 42.5
   Test error estimate, % 25.1 29.1 47.2 42.5
Femoral neck
   Patients with osteopenia (N=257)
   No. of true positive/false negative 196/5 197/4
   No. of true negative/false positive 5/51 4/52
   Patients with osteoporosis (N=285)
   No. of true positive/false negative 14/69 19/64
   No. of true negative/false positive 182/20 183/19
   Sensitivity, % 97.5 98.0 16.9 22.9
   Specificity, % 8.9 7.1 90.1 90.6
   OOB error estimate, % 26.1 34.0
   Test error estimate, % 21.8 21.8 31.2 29.1
Total hips
   Patients with osteopenia (N=295)
   No. of true positive/false negative 156/40 147/49
   No. of true negative/false positive 34/65 39/60
   Patients with osteoporosis (N=241)
   No. of true positive/false negative 4/47 7/44
   No. of true negative/false positive 182/8 179/11
   Sensitivity, % 79.6 75.0 7.8 13.8
   Specificity, % 34.3 39.4 95.8 94.2
   OOB error estimate, % 34.9 22.4
   Test error estimate, % 35.6 36.9 22.8 22.8

, to explore the risk for osteopenia to patients with normal bone mineral density; , to explore the risk for osteoporosis to patients with osteopenia. RF, random forest; OOB, out-of-bag; LG, logistic regression.