Skip to main content

Table 2 The training data and the test data of fat and energy of two milk analyzers (mean ± SD)

From: Comparing human milk macronutrients measured using analyzers based on mid-infrared spectroscopy and ultrasound and the application of machine learning in data fitting

  Data set (n = 465) MIR P-valuea Ultrasound P-valuea 95% LOAb
Fat (g/dl) Training data (n= 372) 3.14 ± 0.69 0.39 2.79 ± 1.14 0.13 -1.87 ~ 1.18
Test data (n= 93) 3.21 ± 0.84 2.99 ± 1.32 -1.76 ~ 1.34
Energy (kj/dl) Training data (n= 372) 269.62 ± 29.81 0.89 258.50 ± 47.08 0.60 -76.88 ~ 54.64
Test data (n= 93) 270.07 ± 24.84 261.36 ± 43.64 -71.84 ~ 54.42
  1. a refers to the p-value of t-test between training dataset and test dataset; b refers to the result of Bland-Altman analysis between observed ultrasonic and MIR values