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Table 14 Dataset D on IBD: classification performance of Ph-CNN compared to other classifiers on Healthy vs. iCDr classification task

From: Phylogenetic convolutional neural networks in metagenomics

iCDr

Ph-CNN

LSVM

p

MCC

min CI

max CI

MCC

min CI

max CI

65

0.537

0.480

0.601

0.338

0.277

0.409

129

0.522

0.453

0.595

0.319

0.254

0.385

193

0.556

0.492

0.617

0.377

0.315

0.437

257

0.477

0.411

0.544

0.438

0.378

0.492

 

MLPNN

RF

p

MCC

min CI

max CI

MCC

min CI

max CI

63

0.526

0.475

0.581

0.552

0.492

0.612

125

0.558

0.493

0.623

0.563

0.516

0.609

188

0.459

0.388

0.527

0.566

0.516

0.616

250

0.529

0.462

0.598

0.539

0.482

0.596

  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)