Skip to main content

Table 5 Results for the Random Under Sampling Boosting (RUSBoost) 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 0.11 ± 0.07 0.55 ± 0.03 0.72 ± 0.10 0.39 ± 0.13
Model 2: C-R 0.24 ± 0.01 0.21 ± 0.08 0.60 ± 0.04 0.59 ± 0.16 0.61 ± 0.10
Model 3: P-R 0.20 ± 0.02 0.19 ± 0.06 0.60 ± 0.03 0.59 ± 0.06 0.61 ± 0.02
Model 4: M-C 0.55 ± 0.02 0.49 ± 0.10 0.74 ± 0.05 0.94 ± 0.13 0.54 ± 0.10
Model 5: M-P 0.43 ± 0.01 0.43 ± 0.05 0.71 ± 0.03 1.00 ± 0.00 0.42 ± 0.07
Model 6: M-R 0.52 ± 0.01 0.50 ± 0.05 0.78 ± 0.03 0.98 ± 0.03 0.57 ± 0.06