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Table 5 Sensitivity analysis showing the disruption of balanced accuracy when adding normally-distributed noise (0.3 × standard deviation) to each variable

From: Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation

Variable range

New balanced accuracy (%)

Change in balanced accuracy (vs. 65.8% on original sample) (%)

A1C

65.7

− 0.1

BMI

64.7

− 1.1

BP

64.5

− 1.3

HDL

64.4

− 1.4

LDL

65.8

− 0.0

Tobacco use

65.0

− 0.8

  1. Balanced accuracy is the average of the sensitivity and specificity rates (see text), based on test sets across 25 cross-validation tests using repeated-hold-20%-out subsampling. Change in balanced accuracy is relative to the optimized classification results using the original data sample in Table 2 (65.8%)
  2. A1C glycohemoglobin. BMI body mass index. BP blood pressure. HDL high-density lipoprotein. LDL low-density lipoprotein
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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