Reconsideration of F1 Score as a Performance Measure in Mass Spectrometry-based Metabolomics

Metadata Downloads
Jaesik Jeong Han Sol Kim Shin June Kim
Issued Date
F1 score Mass spectrometry Metabolomics Positive predictive value Sensitivity Specificity
Over the past decade, mass spectrometry-based metabolomics, especially two dimensional gas chromatography mass spectrometry (GCxGC/TOF-MS), has become a key analytical tool for metabolomics data because of its sensitivity and ability to analyze complex biological or biochemical sample. However, the need to reduce variations within/between experiments has been reported and methodological developments to overcome such problem has long been a critical issue. Along with methodological developments, developing reasonable performance measure has also been studied. Following four numerical measures have been typically used for comparison: sensitivity, specificity, receiver operating characteristic (ROC) curves, and positive predictive value (PPV). However, more recently, such measures are replaced with F1 score in many fields including metabolomics area without any carefulness of its validity. Thus, we want to investigate the validity of F1 score on two examples, with the goal of raising the awareness in choosing appropriate performance comparison measure. We noticed that F1 score itself, as a performance measure, was not good enough. Accordingly, we suggest that F1 score be supplemented with other performance measure such as specificity to improve its validity.
조선대학교 기초과학연구원
Jaesik Jeong. (2018). Reconsideration of F1 Score as a Performance Measure in Mass Spectrometry-based Metabolomics, 조선자연과학논문집 | Vol.11, No.3 p.161 ~ p.164
Laboratory article
Appears in Collections:
2018 > Vol.11, No.3
Authorize & License
  • AuthorizeOpen
Files in This Item:

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.