<p>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validation using AUC, accuracy, sensitivity and specificity.</p
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
<p>The RTF model achieves the highest AUC (0.93), F-Score (86.70%), sensitivity (69,96%) and Specifi...
<p>The 10-fold cross-validation results of independent test by SVM algorithm with g = 0.005 and cuto...
<p>SVM based performance on testing dataset (5-fold cross-validation) using parameters t = 2 (RBF ke...
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
a<p>The overall recognition accuracy is 97.40±0.95%.</p>b<p>The class precision is the percentage of...
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
<p>Total 1783 cysteine sequences were applied in positive and negative data. Sn, sensitivity; Sp, sp...
<p>The data set is partitioned into 10 parts (folds) in the outer loop. One fold of the data set is ...
<p>The accuracy from 5-fold cross validation of SVM using EVSA and GDDA as kernel.</p
<p>(a) Values for TPR, TNR, PPV, and NPV. (b) Values for MCC, BACC, AUC, and ACC.</p
<p>SVM model is tested by three different datasets, only genotype, only phenotype and integrated phe...
<p>Parameters for the various SVR models which were found through 10-fold cross-validation using a g...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
<p>The RTF model achieves the highest AUC (0.93), F-Score (86.70%), sensitivity (69,96%) and Specifi...
<p>The 10-fold cross-validation results of independent test by SVM algorithm with g = 0.005 and cuto...
<p>SVM based performance on testing dataset (5-fold cross-validation) using parameters t = 2 (RBF ke...
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
a<p>The overall recognition accuracy is 97.40±0.95%.</p>b<p>The class precision is the percentage of...
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
<p>Total 1783 cysteine sequences were applied in positive and negative data. Sn, sensitivity; Sp, sp...
<p>The data set is partitioned into 10 parts (folds) in the outer loop. One fold of the data set is ...
<p>The accuracy from 5-fold cross validation of SVM using EVSA and GDDA as kernel.</p
<p>(a) Values for TPR, TNR, PPV, and NPV. (b) Values for MCC, BACC, AUC, and ACC.</p
<p>SVM model is tested by three different datasets, only genotype, only phenotype and integrated phe...
<p>Parameters for the various SVR models which were found through 10-fold cross-validation using a g...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
<p>The RTF model achieves the highest AUC (0.93), F-Score (86.70%), sensitivity (69,96%) and Specifi...
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