<p>The score of the SVM model for the ASD-NEU data with all the 24 metabolites as input variables (ASD is set to be 1, and NEU is set to be −1 in SVM classification).</p
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
<p>Significant analytes from SVM leave one out cross validation on unfiltered data for H2 vs. H3.</p
Performance of SVM models on NIPT prediction using different parameter setting.</p
<p>Relation between the score of the SVM model with 24 input variables versus the particular input v...
<p>The ’s obtained from the SVM model with 18 metabolites arranged in decreasing order of their magn...
<p>Performance of SVM based regression models on various input features on 163 natural peptide datas...
<p>Performances of SVM using amino acid composition (AAC) and <i>p-</i>collocated AA pairs.</p
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>The classification scores assigned by the SVM based on the 251-gene signature to classify active ...
<p>The variable coefficient (CV) of Kappa for six SDMs (BIOCLIM, DOMAIN, MAHAL, RF, MAXENT, and SVM)...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>Each table entry is the number of datasets with in that range. For any dataset, the best model h...
<p>The variable coefficient (CV) of AUC for six SDMs (BIOCLIM, DOMAIN, MAHAL, RF, MAXENT, and SVM).<...
<p>Values in parentheses indicate the area under the receiver operating characteristic curve (AUC) f...
The metabolites selected into the multi-metabolite model by LASSO regression.</p
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
<p>Significant analytes from SVM leave one out cross validation on unfiltered data for H2 vs. H3.</p
Performance of SVM models on NIPT prediction using different parameter setting.</p
<p>Relation between the score of the SVM model with 24 input variables versus the particular input v...
<p>The ’s obtained from the SVM model with 18 metabolites arranged in decreasing order of their magn...
<p>Performance of SVM based regression models on various input features on 163 natural peptide datas...
<p>Performances of SVM using amino acid composition (AAC) and <i>p-</i>collocated AA pairs.</p
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>The classification scores assigned by the SVM based on the 251-gene signature to classify active ...
<p>The variable coefficient (CV) of Kappa for six SDMs (BIOCLIM, DOMAIN, MAHAL, RF, MAXENT, and SVM)...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>Each table entry is the number of datasets with in that range. For any dataset, the best model h...
<p>The variable coefficient (CV) of AUC for six SDMs (BIOCLIM, DOMAIN, MAHAL, RF, MAXENT, and SVM).<...
<p>Values in parentheses indicate the area under the receiver operating characteristic curve (AUC) f...
The metabolites selected into the multi-metabolite model by LASSO regression.</p
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
<p>Significant analytes from SVM leave one out cross validation on unfiltered data for H2 vs. H3.</p
Performance of SVM models on NIPT prediction using different parameter setting.</p
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