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Table 2 Prediction accuracy, ARI and NMI mean (± standard deviation) for different training set sizes in mIHC ovarian and lung cancer datasets and MIBI breast cancer dataset

From: On clustering for cell-phenotyping in multiplex immunohistochemistry (mIHC) and multiplexed ion beam imaging (MIBI) data

Dataset

Training size

Method

Accuracy

ARI

NMI

mIHC ovarian cancer

5\(\%\)

Random Forest

0.944 ± 0.004

0.888 ± 0.007

0.783 ± 0.010

LDA

0.899 ± 0.017

0.779 ± 0.047

0.642 ± 0.051

QDA

0.909 ± 0.007

0.821 ± 0.023

0.699 ± 0.018

10\(\%\)

Random Forest

0.949 ± 0.002

0.896 ± 0.004

0.795 ± 0.006

LDA

0.889 ± 0.010

0.748 ± 0.027

0.609 ± 0.028

QDA

0.919 ± 0.003

0.842 ± 0.007

0.720 ± 0.008

15\(\%\)

Random Forest

0.951 ± 0.002

0.899 ± 0.003

0.802 ± 0.006

LDA

0.898 ± 0.006

0.772 ± 0.018

0.633 ± 0.020

QDA

0.920 ± 0.001

0.848 ± 0.005

0.724 ± 0.006

20\(\%\)

Random Forest

0.952 ± 0.002

0.902 ± 0.002

0.806 ± 0.006

LDA

0.899 ± 0.007

0.774 ± 0.018

0.634 ± 0.023

QDA

0.922 ± 0.001

0.853 ± 0.003

0.727 ± 0.006

mIHC lung cancer

0.5\(\%\)

Random Forest

0.734 ± 0.179

0.575 ± 0.022

0.426 ± 0.018

LDA

0.668 ± 0.052

0.413 ± 0.102

0.363 ± 0.070

QDA

0.669 ± 0.048

0.459 ± 0.076

0.365 ± 0.036

1\(\%\)

Random Forest

0.755 ± 0.057

0.594 ± 0.021

0.450 ± 0.013

LDA

0.704 ± 0.057

0.486 ± 0.116

0.395 ± 0.068

QDA

0.692 ± 0.040

0.482 ± 0.067

0.387 ± 0.031

2\(\%\)

Random Forest

0.768 ± 0.009

0.608 ± 0.016

0.468 ± 0.011

LDA

0.686 ± 0.063

0.440 ± 0.133

0.374 ± 0.083

QDA

0.696 ± 0.019

0.472 ± 0.030

0.387 ± 0.010

3\(\%\)

Random Forest

0.777 ± 0.002

0.620 ± 0.008

0.480 ± 0.005

LDA

0.674 ± 0.064

0.424 ± 0.134

0.355 ± 0.084

QDA

0.687 ± 0.024

0.452 ± 0.044

0.373 ± 0.024

10\(\%\)

Random Forest

0.805 ± 0.001

0.665 ± 0.003

0.524 ± 0.003

LDA

0.709 ± 0.008

0.500 ± 0.024

0.393 ± 0.011

QDA

0.705 ± 0.011

0.475 ± 0.027

0.386 ± 0.011

MIBI breast cancer

5\(\%\)

Random Forest

0.951 ± 0.016

0.869 ± 0.037

0.772 ± 0.055

LDA

0.781 ± 0.135

0.618 ± 0.111

0.47 ± 0.065

10\(\%\)

Random Forest

0.971 ± 0.010

0.915 ± 0.027

0.853 ± 0.04

LDA

0.836 ± 0.038

0.632 ± 0.045

0.492 ± 0.045

20\(\%\)

Random Forest

0.983 ± 0.002

0.948 ± 0.008

0.903 ± 0.011

LDA

0.877 ± 0.010

0.714 ± 0.020

0.569 ± 0.018