(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best value for each performance measure is highlighted in bold. The value in the parenthesis is the standard d
Class-specific producer’s accuracies (PA), user’s accuracies (UA), and overall accuracies (OA) (%) for the different classifiers (Manas, training sample number = 50).
This table summarizes the performances estimates of the two machine-learning methods used in the present study (support vector machine [SVM] and naïve Bayes [NB]) developed with the training sample an
Metabolomic profiling provides real-time insights into tissue physiology and upstream molecular events. Despite its potential in cancer research, large-scale integrative studies in lung adenocarcinoma
