Table 1: The sensitivity and specificity of the various supervised
models evaluated using target variable/s of (a) one-dimensional
(T1-relaxation), (b) one-dimensional
(T2-relaxation), (c) two-dimensional
(T1-relaxation, T2-relaxation), and (d)
three-dimensional (T1-relaxation,
T2-relaxation, A-ratio) from leave-one-out training
method. The synonyms used were:
T1-relaxation/T2-relaxation (A-ratio),
area under the curve (AUC), classification accuracy (CA), F1 score –
the balance between precision and recall, Precision – how many selected
items were relevant, Recall - how many relevant items are selected. The
training method using cross validation of k=5 was also evaluated for
comparison (Supp. Fig. 4).
Table 2: State-of-the-art (with/without) machine learning assistive NMR
works in comparison to the current work (Clustering NMR).