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Table 3 Top 5 features on the LUNG dataset

From: Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies

SAE

PLS-DA

Random Forest

SVM

NN

MZ 264.12

MZ 264.12

MZ 264.12

MZ 170.06

MZ 264.12

MZ 308.09

MZ 126.90

MZ 441.16

MZ 126.90

MZ 126.90

MZ 126.90

MZ 613.35

MZ 584.26

MZ 264.12

MZ 308.09

MZ 232.03

MZ 170.06

MZ 486.25

MZ 94.06

MZ 613.35

MZ 332.09

MZ 243.10

MZ 204.13

MZ 110.99

MZ 332.09

  1. From left to right: SAE, PLS-DA, Random Forest, SVM and NN
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BMC Bioinformatics

ISSN: 1471-2105

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