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Table 4 Variance of feature importances. Variance of the five most important features of a 10-fold cross-validation

From: Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach

Dataset

Variance #1

Variance #2

Variance #3

Variance #4

Variance #5

MI-Mortality

0.001759124

0.004694053

0.004904828

0.003720571

0.001580310

Fibrosis

0.003124527

0.008085472

0.019901386

0.009202372

0.019804508

FLIP

0.006604973

0.011325453

0.014731007

0.023499884

0.020140657

SPECTF

0.000380482

0.014946809

0.011520607

0.005807655

0.002880478

Sonar

0.003887830

0.001792209

0.003004598

0.003115140

0.002680274

WBC

0.001071784

0.001769331

0.002912278

0.000387555

0.001096465

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BioData Mining

ISSN: 1756-0381