Phylogenetic convolutional neural networks in metagenomics

BMC Bioinformatics

Table 6 Dataset D: classification performance of Ph-CNN compared to other classifiers on Healthy vs. iCDf classification task

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)

ISSN: 1471-2105