Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

Table 3 Machine learning classification algorithms evaluated in this work, together with their associated parameters and notation

SVM parameters include Ω (trade-off between training error and model complexity) and λ (normalization factor for inputs), which are determined via a grid search strategy. For ensemble approaches, T refers to the number of component classifiers

ISSN: 1471-2342