<p>The 10-fold cross-validation results of independent test by SVM algorithm with g = 0.005 and cutoff = 0.5.</p
<p>The results of 10-fold cross validation for the proposed method versus Tabassian’s method, SVM, L...
<p>The results of 10-fold cross validation for the proposed method versus Tabassian’s method, SVM, L...
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
<p>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validati...
<p>The accuracy from 5-fold cross validation of SVM using EVSA and GDDA as kernel.</p
<p>Significant analytes from SVM leave one out cross validation on unfiltered data for H2 vs. H3.</p
<p>The data set is partitioned into 10 parts (folds) in the outer loop. One fold of the data set is ...
<p>The results have been run 20 times for every feature construction by SVM algorithm with g = 0.005...
<p>Total 1783 cysteine sequences were applied in positive and negative data. Sn, sensitivity; Sp, sp...
<p>(a) Values for TPR, TNR, PPV, and NPV. (b) Values for MCC, BACC, AUC, and ACC.</p
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
<p>SVM based performance on testing dataset (5-fold cross-validation) using parameters t = 2 (RBF ke...
Comparing different k-fold cross-validation and the percentage of independent sampling data for test...
a<p>The 13 feature schemes were: where <i>k</i> = {<i>1</i>,<i>5</i>,<i>6</i>,<i>7</i>}, <i>g</i> =...
<p>The results of 10-fold cross validation for the proposed method versus Tabassian’s method, SVM, L...
<p>The results of 10-fold cross validation for the proposed method versus Tabassian’s method, SVM, L...
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
<p>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validati...
<p>The accuracy from 5-fold cross validation of SVM using EVSA and GDDA as kernel.</p
<p>Significant analytes from SVM leave one out cross validation on unfiltered data for H2 vs. H3.</p
<p>The data set is partitioned into 10 parts (folds) in the outer loop. One fold of the data set is ...
<p>The results have been run 20 times for every feature construction by SVM algorithm with g = 0.005...
<p>Total 1783 cysteine sequences were applied in positive and negative data. Sn, sensitivity; Sp, sp...
<p>(a) Values for TPR, TNR, PPV, and NPV. (b) Values for MCC, BACC, AUC, and ACC.</p
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
<p>SVM based performance on testing dataset (5-fold cross-validation) using parameters t = 2 (RBF ke...
Comparing different k-fold cross-validation and the percentage of independent sampling data for test...
a<p>The 13 feature schemes were: where <i>k</i> = {<i>1</i>,<i>5</i>,<i>6</i>,<i>7</i>}, <i>g</i> =...
<p>The results of 10-fold cross validation for the proposed method versus Tabassian’s method, SVM, L...
<p>The results of 10-fold cross validation for the proposed method versus Tabassian’s method, SVM, L...
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
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