From: Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics
Source | Target | ||||||
---|---|---|---|---|---|---|---|
Before calibration | After calibration | ||||||
1 | 2 | 3 | 1 | 2 | 3 | ||
Sample | |||||||
ACC | 1 | 0.926 | 0.753 | 0.813 | 0.926 | 0.889 | 0.879 |
2 | 0.799 | 0.911 | 0.828 | 0.875 | 0.911 | 0.870 | |
3 | 0.876 | 0.763 | 0.927 | 0.907 | 0.884 | 0.927 | |
F-score | 1 | 0.915 | 0.807 | 0.828 | 0.915 | 0.904 | 0.875 |
2 | 0.814 | 0.919 | 0.823 | 0.867 | 0.919 | 0.863 | |
3 | 0.865 | 0.741 | 0.929 | 0.904 | 0.899 | 0.929 | |
AUC | 1 | 0.923 | 0.729 | 0.813 | 0.923 | 0.882 | 0.879 |
2 | 0.809 | 0.912 | 0.828 | 0.875 | 0.912 | 0.870 | |
3 | 0.874 | 0.786 | 0.927 | 0.909 | 0.879 | 0.927 | |
MCC | 1 | 0.857 | 0.505 | 0.637 | 0.857 | 0.774 | 0.758 |
2 | 0.648 | 0.831 | 0.656 | 0.749 | 0.831 | 0.743 | |
3 | 0.750 | 0.593 | 0.866 | 0.816 | 0.764 | 0.866 | |
Subject | |||||||
ACC | 1 | 0.922 | 0.769 | 0.822 | 0.922 | 0.896 | 0.892 |
2 | 0.791 | 0.909 | 0.832 | 0 .891 | 0.909 | 0.876 | |
3 | 0.871 | 0.769 | 0.925 | 0.921 | 0.892 | 0.925 | |
F-score | 1 | 0.911 | 0.821 | 0.837 | 0.911 | 0.910 | 0.890 |
2 | 0.814 | 0.918 | 0.827 | 0.883 | 0.918 | 0.870 | |
3 | 0.862 | 0.749 | 0.926 | 0.916 | 0.905 | 0.926 | |
AUC | 1 | 0.919 | 0.744 | 0.822 | 0.919 | 0.889 | 0.892 |
2 | 0.802 | 0.909 | 0.832 | 0.890 | 0.909 | 0.875 | |
3 | 0.870 | 0.793 | 0.925 | 0.921 | 0.888 | 0.925 | |
MCC | 1 | 0.848 | 0.539 | 0.658 | 0.848 | 0.789 | 0.784 |
2 | 0.636 | 0.827 | 0.666 | 0.780 | 0.827 | 0.753 | |
3 | 0.740 | 0.608 | 0.858 | 0.841 | 0.779 | 0.858 |