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Table 4 Results for the Balanced Random Forest (RF) classifier (± standard deviation)

From: Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes

  Train Test
  MCC MCC BAC SEN SPE
Model 1: C-P 0.22 ± 0.02 0.14 ± 0.08 0.56 ± 0.04 0.66 ± 0.13 0.47 ± 0.17
Model 2: C-R 0.26 ± 0.01 0.20 ± 0.08 0.60 ± 0.04 0.73 ± 0.11 0.47 ± 0.05
Model 3: P-R 0.22 ± 0.03 0.19 ± 0.06 0.60 ± 0.03 0.59 ± 0.06 0.61 ± 0.02
Model 4: M-C 0.54 ± 0.01 0.46 ± 0.05 0.73 ± 0.03 0.86 ± 0.13 0.59 ± 0.11
Model 5: M-P 0.42 ± 0.02 0.42 ± 0.05 0.70 ± 0.03 0.99 ± 0.03 0.42 ± 0.07
Model 6: M-R 0.53 ± 0.01 0.49 ± 0.06 0.77 ± 0.03 0.98 ± 0.04 0.57 ± 0.05