linear svms implemented in libsvm Search Results


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/product/linear+svms+implemented+in+libsvm/pmc08516279-304-7-7?v=KNIME+GmbH
Average 90 stars, based on 1 article reviews
weka-knime libsvm node - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
svm toolbox function libsvm  (MathWorks Inc)
96
MathWorks Inc svm toolbox function 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 Toolbox Function Libsvm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/linear+svms+implemented+in+libsvm/10__1109_slash_tnsre__2024__3417210-129-8-22?v=MathWorks+Inc
Average 96 stars, based on 1 article reviews
svm toolbox function libsvm - by Bioz Stars, 2026-07
96/100 stars
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svm models  (CH Instruments)
90
CH Instruments svm models
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 Models, supplied by CH Instruments, 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/product/linear+svms+implemented+in+libsvm/pm25591889-448-0-10?v=CH+Instruments
Average 90 stars, based on 1 article reviews
svm models - by Bioz Stars, 2026-07
90/100 stars
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svms libsvm package  (Emphron Informatics)
90
Emphron Informatics svms libsvm package
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.
Svms Libsvm Package, supplied by Emphron Informatics, 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/product/linear+svms+implemented+in+libsvm/pm17393978-50-21-27?v=Emphron+Informatics
Average 90 stars, based on 1 article reviews
svms libsvm package - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

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