Table 3 Three different categories of ML classifiers are assigned i.e., \(\bigstar\) denotes classifiers with top performance for a modality, \(\bullet\) shows the moderate performing classifiers for a modality and \(\times\) represents the lowest performance.

From: Multi-omics driven computational framework for cancer molecular subtype classification

Classifier

Array

CNV

Exon

Meth.

RNASeq

RPPA

SNP

miRNA

AB

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\bullet\)

\(\times\)

\(\times\)

\(\times\)

BNB

\(\bullet\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

CB

\(\times\)

\(\times\)

\(\bullet\)

\(\times\)

\(\bullet\)

\(\times\)

\(\times\)

\(\times\)

CNB

\(\bullet\)

-

\(\bullet\)

\(\times\)

\(\bullet\)

-

\(\times\)

\(\times\)

DT

\(\times\)

\(\times\)

\(\times\)

\(\bullet\)

\(\bigstar\)

\(\times\)

\(\times\)

\(\times\)

GNB

\(\bigstar\)

\(\times\)

\(\times\)

\(\bullet\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

GB

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

HGB

\(\bigstar\)

\(\times\)

\(\bigstar\)

\(\bigstar\)

\(\bigstar\)

\(\bullet\)

\(\times\)

\(\bigstar\)

KNN

\(\bullet\)

\(\times\)

\(\bullet\)

\(\times\)

\(\bullet\)

\(\bullet\)

\(\times\)

\(\bullet\)

LGBM

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

LR

\(\bigstar\)

\(\bullet\)

\(\bigstar\)

\(\bigstar\)

\(\bigstar\)

\(\bigstar\)

\(\times\)

\(\bigstar\)

QDA

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

\(\times\)

RF

\(\bullet\)

\(\bigstar\)

\(\times\)

\(\bigstar\)

\(\bigstar\)

\(\bullet\)

\(\times\)

\(\times\)

SVM

\(\bigstar\)

\(\bigstar\)

\(\times\)

\(\bigstar\)

\(\bigstar\)

\(\bigstar\)

\(\times\)

\(\bigstar\)

XGB

\(\bigstar\)

\(\bullet\)

\(\bigstar\)

\(\times\)

\(\bigstar\)

\(\bullet\)

\(\times\)

\(\bullet\)