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Table 1 Mean performance of the baseline models during cross-validation as well as performance during external validation. CV = Cross-validation

From: Converting between the International Prostate Symptom Score (IPSS) and the Expanded Prostate Cancer Index Composite (EPIC) urinary subscales: modeling and external validation

Baseline Models

Target variable

Input variable

Architecture

Best mean absolute error during CV

Mean absolute error on external data

Min absolute error on external data

Max absolute error on external data

EPIC Urinary Summary

IPSS total

Linear regression

9.19

10.45

0.09

32.75

EPIC Urinary Irritative/Obstructive

IPSS total

Linear regression

6.41

6.12

0.37

22.78

IPSS total

EPIC Urinary Summary

Linear regression

3.05

5.13

0.05

20.27

IPSS total

EPIC Urinary Irritative/Obstructive

Linear regression

2.78

3.88

0.03

14.39