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Table 11 Dataset D on IBD: classification performance of Ph-CNN compared to other classifiers on Healthy vs. CDf classification task

From: Phylogenetic convolutional neural networks in metagenomics

CDf Ph-CNN LSVM
p MCC min CI max CI MCC min CI max CI
65 0.613 0.555 0.665 0.419 0.363 0.472
130 0.617 0.549 0.601 0.326 0.252 0.394
195 0.630 0.560 0.682 0.647 0.595 0.691
259 0.572 0.501 0.620 0.595 0.545 0.642
  MLPNN RF
p MCC min CI max CI MCC min CI max CI
65 0.610 0.549 0.666 0.677 0.618 0.728
130 0.620 0.551 0.685 0.706 0.648 0.758
195 0.601 0.534 0.667 0.739 0.685 0.788
259 0.648 0.589 0.703 0.720 0.667 0.768
  1. The performance measure is MCC, with 95% studentized bootstrap confidence intervals (min CI, max CI). Models are computed for p={25%,50%,75% and 100%} of total number of features for each task. Comparing algorithms are linear Support Vector Machines (LSVM), Random Forest (RF) and MultiLayer Perceptron (MLPNN)