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Table 7 Experiment 3: Maximum ϕKNNand ϕRFof DF schemes across d {1, 2, ..10}

From: Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery

Classifier PCA PLS CCA RCCA SRCCA TT SRCCA WRST SRCCA WLT
ϕ KNN 84.21% 84.21% 73.68% 68.42% 84.21% 84.21% 84.21%
ϕ RF 84.21% 84.21% 80.20% 68.42% 91.05% 88.95% 93.16%
  1. Maximum classification accuracies obtained for fusing (ϕP, ϕM), (ϕP, ϕA), and (ϕP, ϕH), with PCA, PLSR, CCA, RCCA, SRCCA TT , SRCCA WRST , and SRCCA WLT across d {1, 2, ..10} components, using two classifiers, ϕKNN, with K = 1, and ϕRF, with 50 trees, and leave-one-out validation to identify patients at the risk of biochemical recurrence from those who are not.