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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