svm implemented in libsvm Search Results


libsvm  (MathWorks Inc)
90
MathWorks Inc libsvm
Libsvm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/libsvm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
libsvm - by Bioz Stars, 2026-03
90/100 stars
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weka-knime libsvm node  (KNIME GmbH)
90
KNIME GmbH weka-knime libsvm node
Accuracy, cohen’s κ, TPR and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.
Weka Knime Libsvm Node, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/weka-knime libsvm node/product/KNIME GmbH
Average 90 stars, based on 1 article reviews
weka-knime libsvm node - by Bioz Stars, 2026-03
90/100 stars
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libsvm matlab interface  (MathWorks Inc)
90
MathWorks Inc libsvm matlab interface
Accuracy, cohen’s κ, TPR and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.
Libsvm Matlab Interface, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/libsvm matlab interface/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
libsvm matlab interface - by Bioz Stars, 2026-03
90/100 stars
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svm package libsvm  (MathWorks Inc)
90
MathWorks Inc svm package libsvm
Accuracy, cohen’s κ, TPR and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.
Svm Package Libsvm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm package libsvm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
svm package libsvm - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


Accuracy, cohen’s κ, TPR and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.

Journal: PLoS ONE

Article Title: Investigating the association of CD36 gene polymorphisms (rs1761667 and rs1527483) with T2DM and dyslipidemia: Statistical analysis, machine learning based prediction, and meta-analysis

doi: 10.1371/journal.pone.0257857

Figure Lengend Snippet: Accuracy, cohen’s κ, TPR and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.

Article Snippet: In both SVM techniques implemented in the WEKA-KNIME LibSVM node, the following default parameters were used: kernel cache (cache size = 40.0), kernel type is radial basis function: exp(-gamma*|u-v|2), loss function is 0.1, kernel coefficients epsilon = 0.001 and Gamma = 0.00.

Techniques: Biomarker Discovery

Accuracy, cohen’s κ, TPR, and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.

Journal: PLoS ONE

Article Title: Investigating the association of CD36 gene polymorphisms (rs1761667 and rs1527483) with T2DM and dyslipidemia: Statistical analysis, machine learning based prediction, and meta-analysis

doi: 10.1371/journal.pone.0257857

Figure Lengend Snippet: Accuracy, cohen’s κ, TPR, and TNR values based for the all ML tools and using either 5-fold cross validation or 20% testing set for prediction people with T2DM from people without T2DM.

Article Snippet: In both SVM techniques implemented in the WEKA-KNIME LibSVM node, the following default parameters were used: kernel cache (cache size = 40.0), kernel type is radial basis function: exp(-gamma*|u-v|2), loss function is 0.1, kernel coefficients epsilon = 0.001 and Gamma = 0.00.

Techniques: Biomarker Discovery