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Data · dataset · 2026

<p>Permutation Feature Importance based on the decrease in Matthews Correlation Coefficient (MCC).</p>

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<p>Feature importance was estimated separately for the best-performing Logistic Regression <b>(A)</b>, Support Vector Machine <b>(B)</b>, Naive Bayes <b>(C)</b>, and Convolutional Neural Network (D) models.

Description

Bars represent the mean decrease in MCC after feature permutation, and error bars indicate the standard deviation across 100 permutations.</p>

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Catalogue records · 1

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3402684111 d agoJSON v1
FieldAssertionExtractorEvidence
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