Skip to main content

Table 8 Experiment 3: Median 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 52.63% 57.89% 57.89% 47.37% 68.42% 68.42% 68.42%
ϕ RF 51.58% 62.37% 58.42% 37.37% 72.89% 69.47% 74.21%
  1. Median 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.